Pith. sign in

Paper Citation Record · LEDGER

A Survey on Privacy Risks and Protection in Large Language Models

As of 23 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 7 inbound Pith citation observations for arXiv:2505.01976.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.01976 v1

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:07:36.533849Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:39:44.550862Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

92 of 92 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b44a9bb1-a834-4cb7-b7d2-6517f5b72557 · outbound

This paper cites GPT-4 Technical Report.

A Survey on Privacy Risks and Protection in Large Language Models GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.214991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.214991Z digest=sha256:2e70c8ed83955bfb18fb39d8ddd3640884877335718a74a0235c3842fbd918f3

Observation e397cab6-19eb-4b2c-97c7-96a06eb33131 · outbound

This paper cites ArXiv (2023).

A Survey on Privacy Risks and Protection in Large Language Models ArXiv (2023)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.220084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.220084Z digest=sha256:3a318a3992799d1e8f827305f150e2a96815047c1d5b69eb8295d8e4c93730a0

Observation 2442d616-bd2b-412c-82dd-eec2f5bf3864 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Survey on Privacy Risks and Protection in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.223613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.223613Z digest=sha256:9bfa8e8d0b4722d3f5ab1097c7f4a9e11117e07fbf343fd2508ca94ed652108f

Observation d20602b7-74f6-4035-b07b-c8811371ce7c · outbound

This paper cites Learning and individual differences103, 102274 (2023).

A Survey on Privacy Risks and Protection in Large Language Models Learning and individual differences103, 102274 (2023)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.227489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.227489Z digest=sha256:691915d68e6968925ef951cb80411616a828e9a475fcfe03d61710ef801adf2a

Observation f35e1458-c275-45e6-977e-f169048d66f6 · outbound

This paper cites IEEE Access10, 19621–19628 (2022).

A Survey on Privacy Risks and Protection in Large Language Models IEEE Access10, 19621–19628 (2022)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.231613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.231613Z digest=sha256:dca7e3fc54776d68491f2003601d2e87ce727a2768ccc6f68f8d222178a8d956

Observation 6a9de9f5-d426-4dba-b1e2-450784b3ae5a · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Advances in Neural Information Processing Systems36 (2024)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.235435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.235435Z digest=sha256:30c78561b2c96bc8aec23228699934b49a6faca9042f26e5146e3111fae57bf7

Observation 20d7d4b5-9d49-40fe-82bc-97603ee56250 · outbound

This paper cites You Are What You Write: Preserving Privacy in the Era of Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models You Are What You Write: Preserving Privacy in the Era of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.239584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.239584Z digest=sha256:f60e3982ac23f3d6f086a63f70adc71730850ff877b181ffcea9084c46f412d2

Observation bc5c0926-80df-4046-9355-f3878cbba19b · outbound

This paper cites BadEdit: Backdooring large language models by model editing.

A Survey on Privacy Risks and Protection in Large Language Models BadEdit: Backdooring large language models by model editing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.243300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.243300Z digest=sha256:5dae1240dcdae4588ccf7224f8f4f4a138f5335d333d9a1bc7f1e00b05a97408

Observation 3115eb7f-ac21-4c30-8008-778de0e75f9f · outbound

This paper cites Computers & Security135, 103476 (2023).

A Survey on Privacy Risks and Protection in Large Language Models Computers & Security135, 103476 (2023)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.246995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.246995Z digest=sha256:3b2ca186850b30979361e915f2ccfe7f36ac71caf7fae8fa0f71266bff894494

Observation 6eb2dca1-92bb-4753-8357-e7255e78bca8 · outbound

This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.250448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.250448Z digest=sha256:51a4d7b640f86874ceba15e46a54ba6dd54cd7bbffa70d36ae7058eaadd891d9

Observation a48925ad-cf32-45e3-86fa-463785250881 · outbound

This paper cites IEEE Transactions on Big Data (2024).

A Survey on Privacy Risks and Protection in Large Language Models IEEE Transactions on Big Data (2024)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.253983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.253983Z digest=sha256:aea7011a0649bbc52de9b7496d7dd55bb511bab7fe5c718f46dd200c1c98271f

Observation d155af42-39e1-40ef-87a9-d4dd78cefe23 · outbound

This paper cites Presented at Posters-at-the-Capitol, Northern Kentucky University, 2025 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Presented at Posters-at-the-Capitol, Northern Kentucky University, 2025 (2025)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.256855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.256855Z digest=sha256:ab715d8958122099e314b0865ac9190d008c4cea1a5206dcac917523b14ca839

Observation 23b47c74-7606-40e9-8db2-0b908590b8cd · outbound

This paper cites Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory.

A Survey on Privacy Risks and Protection in Large Language Models Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.259553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.259553Z digest=sha256:7d2b07f62688907bec9925b0297c94bf452d2bae3cabaddab4382b7a82e862d9

Observation b8b16a9e-5abf-4ce3-b113-54a9233b6ad9 · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

A Survey on Privacy Risks and Protection in Large Language Models On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.262540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.262540Z digest=sha256:0be36b633d3e22e76252ba5342e6dc64d3bbf312f71d0b4272597a6978a48315

Observation 962df3b5-45d4-4fa2-8310-3590f3e8ada1 · outbound

This paper cites ACM computing surveys56(11), 1–40 (2024).

A Survey on Privacy Risks and Protection in Large Language Models ACM computing surveys56(11), 1–40 (2024)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.265730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.265730Z digest=sha256:79566290ff5f631cb4a3e640b95e5232e0151ca2480f6c30ad4c613acf952070

Observation 640610d5-7ae5-4b3a-bbe7-78b9dd887649 · outbound

This paper cites Journal of Computer Science and Technology Studies7(1), 17–29 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Journal of Computer Science and Technology Studies7(1), 17–29 (2025)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.268498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.268498Z digest=sha256:75560c10a4fb237695c90bb0f05e4dd9b9f18142fa9bd3556d35856b17715a6d

Observation 957d63d5-d8df-43c1-930f-87f04b4d0fea · outbound

This paper cites Information16(1), 49 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Information16(1), 49 (2025)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.271458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.271458Z digest=sha256:1d7962e9235e6ca25b7d88993d7cc1576cbad1af480351354dbf114a8ea76bce

Observation 73b42bf8-2fef-4684-86de-fcd2b312008c · outbound

This paper cites ACM Computing Surveys57(6), 1–39 (2025).

A Survey on Privacy Risks and Protection in Large Language Models ACM Computing Surveys57(6), 1–39 (2025)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.275347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.275347Z digest=sha256:ac01c6b3b077be9745496d2403d39cf263a3c931e487094bba0765d76e9d9426

Observation 0c50c4e7-996e-433f-99b6-51ce050ee3c3 · outbound

This paper cites High-Confidence Computing, 100211 (2024).

A Survey on Privacy Risks and Protection in Large Language Models High-Confidence Computing, 100211 (2024)

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.278487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.278487Z digest=sha256:74ce9e49d7388a9c38519b110abf00b8f2bea7b18ee11f18425ffa4f7b3a566e

Observation 39c0aae0-510b-4546-a919-41431be1a3d5 · outbound

This paper cites In: International Conference on Ubiquitous Security, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: International Conference on Ubiquitous Security, pp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.534315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.281454Z digest=sha256:3644a56563090f97a84eef2a7dcc720c6b21f016ece5c95a8a650651e8b3bcae

Observation 5889d424-5525-4fe9-a551-8368cfed6a2c · outbound

This paper cites Advances in Neural Information Processing Systems37, 131197–131223 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Advances in Neural Information Processing Systems37, 131197–131223 (2025)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.523544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.284617Z digest=sha256:d16138de63a1372590405d072819d7c90aa575543e0acde383f7be1f177e735a

Observation 6ee4c563-5fa1-479e-84f9-53f3a0d7e457 · outbound

This paper cites Stanford Center for Research on Foundation Models.

A Survey on Privacy Risks and Protection in Large Language Models Stanford Center for Research on Foundation Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.288795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.288795Z digest=sha256:1e54af55b99f71bd7699cb8425c6bda1afaccdd56962e933fa569705c29ac104

Observation 41bc9d97-8f9c-4827-8e03-3455133d38f6 · outbound

This paper cites Advances in neural information processing systems 35, 27730–27744 (2022).

A Survey on Privacy Risks and Protection in Large Language Models Advances in neural information processing systems 35, 27730–27744 (2022)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.504936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.292266Z digest=sha256:df5fc3149d9caa25a16a08ad4b071d1e7539a1e627771adf999c17feb656ad8b

Observation 40577ae7-b81e-4cf3-8a04-31b7cce4a972 · outbound

This paper cites In: 30th USENIX Security Symposium (USENIX Security 21), pp.

A Survey on Privacy Risks and Protection in Large Language Models In: 30th USENIX Security Symposium (USENIX Security 21), pp

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.295331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.295331Z digest=sha256:13fcf289aff973a5de99b56de42d1822a3d054aca74c5d305865e9d28dfe71c1

Observation 0279ab8d-f0b6-4473-bd60-c4f7ed6d8cde · outbound

This paper cites IT Professional 25(3), 9–13 (2023) 24.

A Survey on Privacy Risks and Protection in Large Language Models IT Professional 25(3), 9–13 (2023) 24

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.487664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.298303Z digest=sha256:48ff8530836ab0c64d23f2d2a754800cd981c3509eed131d0a647cd3dffa8fb8

Observation 5fc643a4-8d59-4828-a624-cbca6ac67e6a · outbound

This paper cites Artificial Intelligence Review58(1), 1–47 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Artificial Intelligence Review58(1), 1–47 (2025)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.475887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.301455Z digest=sha256:d83ccfbafef3357bebffccfcb19dc97bfdee56072c4703c3afb3629531dadc0d

Observation 3d069bf6-2d40-44e5-84f2-4d994a0d4ef9 · outbound

This paper cites Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory.

A Survey on Privacy Risks and Protection in Large Language Models Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.305206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.305206Z digest=sha256:2407f20125cfa3d97d727d419f68f2155c1120183d00b43e4338e0c6aff48d41

Observation bb369a01-c090-4c39-bc05-93e4c6a460d3 · outbound

This paper cites In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.464861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.309535Z digest=sha256:ff7d9dc5ee3a3b0b598f9b8323481229b69690d0c76bc84013c10f97c5cbceab

Observation a9bdede4-b284-4358-a117-20074310443a · outbound

This paper cites On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

A Survey on Privacy Risks and Protection in Large Language Models On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.313040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.313040Z digest=sha256:7a238498babc1fd4b04bfb11734b3dc243f259bba917dab795450d6283b6f01d

Observation 7108b7d2-8582-4948-a824-971fb9a55ef2 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

A Survey on Privacy Risks and Protection in Large Language Models A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.316770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.316770Z digest=sha256:cf17f05c0bc777cb19911564144444455fe1bf8f1e743cf5bbd810fb68335f15

Observation 78917606-f87d-4ebf-a1a6-4de470875771 · outbound

This paper cites Nature Medicine, 1–8 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Nature Medicine, 1–8 (2025)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.452978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.320907Z digest=sha256:25c747153c769df21ec3faeef2d3157f487eb917b1b1184284b26658365adb4a

Observation 3d01d73f-05d3-430b-b671-5d6b08f7ad2b · outbound

This paper cites GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory.

A Survey on Privacy Risks and Protection in Large Language Models GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.324514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.324514Z digest=sha256:9d995daa5fb6ff4a568a48f521fe5886072d78e4d07e43fbf8ab5b0cc4ee21c2

Observation 6c01c63c-09d8-427a-9a71-44f4124a5b1e · outbound

This paper cites In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.440013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.328501Z digest=sha256:f951235828e5e9a1e80d13c4b058f9748e72f3d593dc752ca6e642c75eed9bd2

Observation 51d165bc-fb4d-423b-b59a-50067d482fd5 · outbound

This paper cites Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning.

A Survey on Privacy Risks and Protection in Large Language Models Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.332327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.332327Z digest=sha256:6f539abc05e8b36cdadac1bc2d23e2990183a5f121daeb26e7a6b762c8fe1634

Observation 3d3b2533-6d94-430f-a68f-d3c3c23e3aa4 · outbound

This paper cites Weight Poisoning Attacks on Pre-trained Models.

A Survey on Privacy Risks and Protection in Large Language Models Weight Poisoning Attacks on Pre-trained Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.336150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.336150Z digest=sha256:35713e5b38d9e6d93f926acd650b561ee48664b8e4444e8222866e03ada2cc68

Observation b6fdfd8d-cb01-468c-a601-4c8f6e965d04 · outbound

This paper cites In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.427043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.339959Z digest=sha256:245ffb823ab9207bd8409662d90bc05a2314db058b41d005defa19e7b770048f

Observation 4fbb61ac-e89e-4597-b3d8-68e880531bb9 · outbound

This paper cites In: Proceedings of the 22nd ACMSIGSACConferenceonComputerandCommunicationsSecurity,pp.1322– 1333 (2015).

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the 22nd ACMSIGSACConferenceonComputerandCommunicationsSecurity,pp.1322– 1333 (2015)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.415054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.343150Z digest=sha256:865b02e0d200e18e25cafe9af0ca5aa7040e50cfd6bcb7db6829b1ecef45e5eb

Observation ffdf7918-c137-466d-9baf-c38a312f29d1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.401826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.346851Z digest=sha256:2a90d9f2e6963ff73410a660fb8aec322720bb1ec4d3d527896160598526c070

Observation 921bc3f9-e956-49cd-8604-ec7e55e3523d · outbound

This paper cites Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers.

A Survey on Privacy Risks and Protection in Large Language Models Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.350200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.350200Z digest=sha256:aa28acdac4d463e65b473af4fb00577f651b619e3f62873b3ca3093fa6c5a75a

Observation 5ef1f445-c039-401b-8063-fb656bcfa1d3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.389423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.353838Z digest=sha256:2b177434a1011cd8c7b0715fca21fe6038783c3d868775c52f5c792418ebcd87

Observation a03bdd0c-f738-410f-bffa-dab96106f44e · outbound

This paper cites Prompt Stealing Attacks Against Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models Prompt Stealing Attacks Against Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.357794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.357794Z digest=sha256:72da884cf6dd1183b8851dd497dc1e25823dd4d689ccd0c9b6d4e2b725e3ae09

Observation 90e9b9d2-4af8-4832-b30e-7dce41bf925c · outbound

This paper cites Electronics13(14), 2858 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Electronics13(14), 2858 (2024)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.378826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.361877Z digest=sha256:bfc6d9c2e415d17873d074b9f806976960262b3d552d12c65a2f0dbaafdcd275

Observation 67c2be57-b680-41e6-ac72-325a168dbd83 · outbound

This paper cites In: 32nd USENIX Security Symposium (USENIX Security 23), pp.

A Survey on Privacy Risks and Protection in Large Language Models In: 32nd USENIX Security Symposium (USENIX Security 23), pp

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.368169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.365709Z digest=sha256:6fd3c8f363e6effb29f89a6aa0062125bfe6222fe241b591fd12e6cbadf3414c

Observation 4d61d520-5770-4c66-a840-0fe421e45fdd · outbound

This paper cites Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.368531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.368531Z digest=sha256:e3f9db72a9acaf7af35c3b75a40faa7693ae9c85ff7c62b9148a7c6a11b98b81

Observation fba0fcad-9796-4d2b-b116-07a767ca372d · outbound

This paper cites Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration.

A Survey on Privacy Risks and Protection in Large Language Models Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.371685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.371685Z digest=sha256:fc3f7b2bbb3d6b7e31fc8497789605cd047e573d49ee930616c0b8e59682e671

Observation 80ce26b8-8958-4733-9a5d-d56437ea8165 · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

A Survey on Privacy Risks and Protection in Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.375129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.375129Z digest=sha256:50ef25a4e50ce7c7ea9d8fe0dce3edbb5937106f836d85b4093e089bff46bfb9

Observation d13ef631-281b-4d7d-98a0-552717ae8153 · outbound

This paper cites In: 2021 IEEE European Symposium on Security and Privacy (EuroS&P), pp.

A Survey on Privacy Risks and Protection in Large Language Models In: 2021 IEEE European Symposium on Security and Privacy (EuroS&P), pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.357537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.378532Z digest=sha256:e0408ddf2a3c2312d0ce8f7e5499d2623fef84f9af6f72f9a6d9fb9e1fdbaef8

Observation 1e4b561a-ef22-46d9-b2f8-e2f42f063b81 · outbound

This paper cites ACM Transactions on Privacy and Security (TOPS)21(1), 1–30 (2018) 26.

A Survey on Privacy Risks and Protection in Large Language Models ACM Transactions on Privacy and Security (TOPS)21(1), 1–30 (2018) 26

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.345895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.381523Z digest=sha256:c692786a70cd9f237744364e2d327794443325a57afd81a076973e4c48c5ba41

Observation 21a11791-6aa4-4913-a6e3-9443f50e7815 · outbound

This paper cites Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs.

A Survey on Privacy Risks and Protection in Large Language Models Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.384793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.384793Z digest=sha256:b64922c6aae37de168b28edf959a47927cc31217f1eb2b2373f500e5bdf74ab1

Observation ab51c226-b2b4-47c7-924a-1722f80895fa · outbound

This paper cites In: 2017 IEEE Symposium on Security and Privacy (SP), pp.

A Survey on Privacy Risks and Protection in Large Language Models In: 2017 IEEE Symposium on Security and Privacy (SP), pp

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.388835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.388835Z digest=sha256:0aef0e3ba9fb87767a1a32a96378e377b30973b50041fc262959e9cb101e821f

Observation bd5c01d2-b41f-449e-96fb-d0e90881ae02 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Survey on Privacy Risks and Protection in Large Language Models On the Opportunities and Risks of Foundation Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.392599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.392599Z digest=sha256:de5149a9c141423584fe96089d755f480a2fab7ba1b067fe490352c7d2485f04

Observation 209c84d5-256e-46c6-ae85-98611ecf5c56 · outbound

This paper cites Journal of Energy Storage84, 110780 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Journal of Energy Storage84, 110780 (2024)

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.326625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.396404Z digest=sha256:6fc117f0cd7738d38e19ef90d37a248650deabe823c223e7e046ad94fd757ba4

Observation 45b856b5-dd9a-45cb-b28e-a5525249f9a3 · outbound

This paper cites ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

A Survey on Privacy Risks and Protection in Large Language Models ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.399830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.399830Z digest=sha256:af8623997dc1e883c9cda51712a529a3f95aceca679544b68d6888e667ee07a4

Observation 82a50574-8a0b-4073-8301-4afacb7d2ad4 · outbound

This paper cites PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners.

A Survey on Privacy Risks and Protection in Large Language Models PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.403924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.403924Z digest=sha256:52dd8e1278cafa025c35e48310af5369b79570742e8f3a8d580b9aff37f9d870

Observation 153e1aa6-0c59-456e-9d61-5d1ad03160ea · outbound

This paper cites an unresolved cited work.

A Survey on Privacy Risks and Protection in Large Language Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:07:37.314261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.407601Z digest=sha256:ca6dd0b211bafcf4fee3f4b7bbe131b51fa4dfd1e0e6416ece5e327faf17b224

Observation f3956f89-3157-4da2-8718-7884217bbd38 · outbound

This paper cites World Wide Web27(4), 42 (2024).

A Survey on Privacy Risks and Protection in Large Language Models World Wide Web27(4), 42 (2024)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.303492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.411103Z digest=sha256:c9bb44000d91ba2a3ac98d1630c38612c512c838e84da8e39b47f1a57bb7dfd1

Observation 23cf1560-71bc-4c5c-bef7-d6bab75cedd4 · outbound

This paper cites Holistic risk assessment of inference attacks in machine learning.

A Survey on Privacy Risks and Protection in Large Language Models Holistic risk assessment of inference attacks in machine learning

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T04:07:36.818983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.413782Z digest=sha256:fe612c18f6c0e1f0c8d12d7d81ff57c5a11eb90839191e9a1d21a7c50134b04b

Observation 149b80a7-39d6-44fe-af79-6fd768ad065c · outbound

This paper cites Enhancing Data Privacy in Large Language Models through Private Association Editing.

A Survey on Privacy Risks and Protection in Large Language Models Enhancing Data Privacy in Large Language Models through Private Association Editing

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.417453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.417453Z digest=sha256:1e6151b66da888ef7d7963710c35d32d87b8cc8c095473e79e12da32d5d4d485

Observation 0d00b60d-cf81-45c1-89fb-d1ff19072474 · outbound

This paper cites IET Blockchain4, 706–724 (2024).

A Survey on Privacy Risks and Protection in Large Language Models IET Blockchain4, 706–724 (2024)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.292020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.420822Z digest=sha256:c29c07804882febcf3fc1a7492ae9cf7f3af9918726f4c4456741308b61f7aee

Observation 79003392-7ea5-4580-af02-491955488574 · outbound

This paper cites arXiv preprint arXiv:2310.12214 (2023) 27.

A Survey on Privacy Risks and Protection in Large Language Models arXiv preprint arXiv:2310.12214 (2023) 27

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.423970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.423970Z digest=sha256:3b7d9e62fdf4b22a0db1ba8d1e6187c5fc3ff34089e1193e411719c3b3228612

Observation af793d00-4377-4b92-828a-87c7e3145903 · outbound

This paper cites Privacy-Preserving Language Model Inference with Instance Obfuscation.

A Survey on Privacy Risks and Protection in Large Language Models Privacy-Preserving Language Model Inference with Instance Obfuscation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.427274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.427274Z digest=sha256:8777e1f9c868969c3f7247720e80afb6f10b456c20dfa62292b23267d6074a07

Observation d1a02370-2d53-4324-91a6-15642c179bb4 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Advances in Neural Information Processing Systems 36 (2024)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.280822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.430757Z digest=sha256:5d49a29723165541f2866a2fc2c51dd1c926329fb63e32cb93059d80ef86fe61

Observation efa5173c-1f00-4d92-bfc7-e296c162b08c · outbound

This paper cites FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.434007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.434007Z digest=sha256:04c6cf22f7ed4a7021cb0462d9b297b556ec8652ca52c43e299fea3bf0610e8b

Observation 324d7641-3ee1-4e61-a1cf-dd0b69ed1742 · outbound

This paper cites IEEE Internet of Things Journal 9(4), 2555–2565 (2021).

A Survey on Privacy Risks and Protection in Large Language Models IEEE Internet of Things Journal 9(4), 2555–2565 (2021)

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.268710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.437520Z digest=sha256:5807bb261f9fa5975e9e43bf44caa0690aea86f72fae61472051850713f902b1

Observation 5930cd8f-1afc-47b9-a684-231a22caff31 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 20750–20762 (2023).

A Survey on Privacy Risks and Protection in Large Language Models Advances in Neural Information Processing Systems 36, 20750–20762 (2023)

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.440966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.440966Z digest=sha256:65ceef1ca4b2439d8cf416607557444088f870b87735fe36d4913eea9db677ef

Observation b32ae9bf-78b1-491c-9619-825e1f174c40 · outbound

This paper cites Integration of Large Language Models and Federated Learning.

A Survey on Privacy Risks and Protection in Large Language Models Integration of Large Language Models and Federated Learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.444470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.444470Z digest=sha256:09d42ca9929487e930711b4ee1d65af9e7f8d218d70fd74962119fb0ea6df624

Observation 9279674b-46ec-48b2-ae6b-8cd2d9280d17 · outbound

This paper cites Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

A Survey on Privacy Risks and Protection in Large Language Models Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.447923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.447923Z digest=sha256:f5eb3f8e4d66fed1fb7316d2086cc56d2f1c2a72e01b6569421e3db40deadff6

Observation 8b00ee2a-12a5-48bc-bc79-5cf6313b8c3f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.249206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.451130Z digest=sha256:6c5e6f0af1a5437c444695efb7ab073aae6a319b98ec1177fb71192e0cc018c9

Observation 844c02bc-a3ec-4ed1-b770-c0d95a201da3 · outbound

This paper cites In: International Symposium on Research in Attacks, Intrusions, and Defenses, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: International Symposium on Research in Attacks, Intrusions, and Defenses, pp

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.237547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.454155Z digest=sha256:d24ec89a8867816219ba7b590e4eb004b8d1fd78838116bb03b5eb3d57908742

Observation 9300bc80-690e-4013-ab8c-59e7c800b444 · outbound

This paper cites THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

A Survey on Privacy Risks and Protection in Large Language Models THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.457520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.457520Z digest=sha256:cdf32bd51af6b6824718d049535cc1ac256584c1b2d9a7613b947f7b6ab3eed7

Observation 0c48ffa3-c9a3-40b7-bc09-0b066a1a1629 · outbound

This paper cites Fusion: Efficient and Secure Inference Resilient to Malicious Servers.

A Survey on Privacy Risks and Protection in Large Language Models Fusion: Efficient and Secure Inference Resilient to Malicious Servers

Reference 71

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T04:07:36.647477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.461046Z digest=sha256:f477862a6055b49b50358f1b92a87fd05e5022ac7b973f3ca9899daec81e4916

Observation 48a21043-339d-46be-a6ae-9fe71f5a0174 · outbound

This paper cites In: Findings of the Association for Computational Linguistics ACL 2024, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Findings of the Association for Computational Linguistics ACL 2024, pp

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.224388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.465057Z digest=sha256:a2ebbefe7209f17637b9440569139041a3aec7bd2e3caccd78481a13a395f14b

Observation 5ed1d099-de4a-48f4-aaa8-a4c2a8b5d2ec · outbound

This paper cites In: 32nd USENIX Security Symposium (USENIX Security 23), pp.

A Survey on Privacy Risks and Protection in Large Language Models In: 32nd USENIX Security Symposium (USENIX Security 23), pp

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.209600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.468640Z digest=sha256:796a63da122a80101c5cd23a30dedc1482662afd711c1013833e6dbb75b11a7d

Observation 7e9dc790-ed90-49bb-8fc4-b2d5998fc51b · outbound

This paper cites A Fast, Performant, Secure Distributed Training Framework For Large Language Model.

A Survey on Privacy Risks and Protection in Large Language Models A Fast, Performant, Secure Distributed Training Framework For Large Language Model

Reference 74

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T04:07:36.632099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.472536Z digest=sha256:9bdeea1d4993238ab2d8cdd1f9fe1fd8c890d53c549ecf314f23c7454553ee95

Observation c4500eb2-d4df-408e-8e80-c6444503328d · outbound

This paper cites 1450–1465 (2020).

A Survey on Privacy Risks and Protection in Large Language Models 1450–1465 (2020)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.197351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.476191Z digest=sha256:3cd010114cc775460f9359c2fc271194f9004b90b40465cf59c13f49c42d1264

Observation f55c965f-38e5-4a2c-9ccb-e43b0dc8d7a1 · outbound

This paper cites Differentially Private Fine-tuning of Language Models.

A Survey on Privacy Risks and Protection in Large Language Models Differentially Private Fine-tuning of Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.479592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.479592Z digest=sha256:aed7d93b32f9c3b6af82e1c68c673406082de5266dd81bb5db0591aa1aabb397

Observation cac2129d-5ed0-499d-a3a9-bc63962993f4 · outbound

This paper cites ACM Computing Surveys (Csur) 51(4), 1–35 (2018).

A Survey on Privacy Risks and Protection in Large Language Models ACM Computing Surveys (Csur) 51(4), 1–35 (2018)

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.184462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.483265Z digest=sha256:74f33072531ceeeb2bf1180135edb824f11de39fc1c455272b53083b576bc7be

Observation 04275903-c1ab-4b93-943b-2ba8c1cec961 · outbound

This paper cites In: Annual International Conference on the Theory and Applications of Cryptographic Techniques, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Annual International Conference on the Theory and Applications of Cryptographic Techniques, pp

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.173238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.486316Z digest=sha256:33fb953bc05fb6303993570c48beedeaac3a964636aa35aa49e68ad9840ceefb

Observation a2679cf9-a780-467b-85e6-f7b070ac095a · outbound

This paper cites In: 2015 IEEE Trustcom/BigDataSE/Ispa, vol.

A Survey on Privacy Risks and Protection in Large Language Models In: 2015 IEEE Trustcom/BigDataSE/Ispa, vol

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.161958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.489532Z digest=sha256:5ae4197f5f3428eb8b6b783ed8884993442011a534513f4639e4cd05320361f8

Observation b0f0ab19-cfa8-4ee6-b954-9db9bab4a579 · outbound

This paper cites SeSeMI: Secure Serverless Model Inference on Sensitive Data.

A Survey on Privacy Risks and Protection in Large Language Models SeSeMI: Secure Serverless Model Inference on Sensitive Data

Reference 80

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T04:07:36.604205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.493437Z digest=sha256:2e1c46414883ccaf27d3dd11dc237b9a565a62c3d6a102713bf224e5b4ce27bc

Observation 14065fab-13ce-4cc0-99c3-b2dac21a99c1 · outbound

This paper cites Transactions of the Association for Computational Linguistics 12, 1556–1577 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Transactions of the Association for Computational Linguistics 12, 1556–1577 (2024)

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.497018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.497018Z digest=sha256:fe797d2c2b3eba87a065208fcd9d4898708c2f0aad5963ed6f9859293fddebcf

Observation 138beaab-c0a5-4ee8-8b5b-d404277e5400 · outbound

This paper cites Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions.

A Survey on Privacy Risks and Protection in Large Language Models Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.500967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.500967Z digest=sha256:248e171b6e34748d6aa28a23b3b46c2b36aa56fd64bc54a9aca425358626f9dc

Observation e1c0fa9d-b264-4957-9c49-80ed4f666585 · outbound

This paper cites In: Artificial Intelligence and Statistics, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Artificial Intelligence and Statistics, pp

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.504468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.504468Z digest=sha256:eb9f3e33ae213f9a4cbd01bb25349a62331467584bac69c06e4509aef1f878a0

Observation f6a4bfab-3cb9-45da-a6b2-4da12e5572a0 · outbound

This paper cites ACM Transactions on Modeling and Performance Evaluation of Computing Systems (2024) 29.

A Survey on Privacy Risks and Protection in Large Language Models ACM Transactions on Modeling and Performance Evaluation of Computing Systems (2024) 29

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.135977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.507844Z digest=sha256:54eb86283133e2527f37e4a2bd95f95db01e74321b48b33c89df139df5ee7ea4

Observation 32e57b98-e767-4871-880e-3aa286bc5128 · outbound

This paper cites Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility.

A Survey on Privacy Risks and Protection in Large Language Models Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.510890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.510890Z digest=sha256:fb7692272e3fee7ab9974905ac1d004c5435cb66603d39cd11c5dfeb8c43fc03

Observation 7499cf4b-52b4-4d4e-8135-8da4e2f14e40 · outbound

This paper cites Expert Systems with Applications260, 125348 (2025).

A Survey on Privacy Risks and Protection in Large Language Models Expert Systems with Applications260, 125348 (2025)

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.124741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.514944Z digest=sha256:37144e59942fc10d4ed23d6e899e36ee0edf1388cf162bc36f1b84759b2a809b

Observation fac35c9c-a1ae-4aec-ad33-1d5471dbfe50 · outbound

This paper cites Security and Safety1, 2021001 (2022).

A Survey on Privacy Risks and Protection in Large Language Models Security and Safety1, 2021001 (2022)

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.113199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.518305Z digest=sha256:a91643dd645f90dc796e7bb1b1be8ec89560d13b0d76152f50e13d65fdfabf9f

Observation 616a436f-ce65-41a0-bb67-7fa9885e22bb · outbound

This paper cites IEEE network35(4), 198–205 (2021).

A Survey on Privacy Risks and Protection in Large Language Models IEEE network35(4), 198–205 (2021)

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.101704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.521318Z digest=sha256:d5ab0d3bbf382a9ade0ea0ae78e4eb7b5b66f2832f691f762b25eb7ae8041e00

Observation ed661b8d-7597-40c2-8ab3-6945c2dba188 · outbound

This paper cites In: Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, pp.

A Survey on Privacy Risks and Protection in Large Language Models In: Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, pp

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.089400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.524366Z digest=sha256:a8eca09ac099aed00b2841ea28af5732a9d7e61a07f9a1f73f25d1e61f033fbc

Observation c0f34a3f-0bdb-45e7-9bcb-a2b501dad31f · outbound

This paper cites Computers and Electrical Engineering 120, 109698 (2024).

A Survey on Privacy Risks and Protection in Large Language Models Computers and Electrical Engineering 120, 109698 (2024)

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.076985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.527673Z digest=sha256:0c5c6da13b5112885377b3e05c8ebc57861916f029e35a8d9de84bf4ed65b8bd

Observation e88a6f07-6321-47c2-a302-26d1001311b4 · outbound

This paper cites A Practical Guide, 1st Ed., Cham: Springer International Publishing10(3152676), 10–5555 (2017).

A Survey on Privacy Risks and Protection in Large Language Models A Practical Guide, 1st Ed., Cham: Springer International Publishing10(3152676), 10–5555 (2017)

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:07:37.064755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:07:36.530600Z digest=sha256:7a4a5def21af9b6bc065684fba1267cd0015a5b9ca956b5c2d79aa150cce0d4b

Observation f771ec39-a9e9-45eb-9100-cc601f6e2c3b · outbound

This paper cites LLM-PBE: Assessing Data Privacy in Large Language Models.

A Survey on Privacy Risks and Protection in Large Language Models LLM-PBE: Assessing Data Privacy in Large Language Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.533849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.533849Z digest=sha256:3d14cc112a5aebabd84118d076689bb4103ba29e5f4b8c771a95f5071a80d76c

Pith citing papers

Observation f088b15a-3462-42b9-9efe-d4726b566a91 · inbound

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs cites this paper.

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs A Survey on Privacy Risks and Protection in Large Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T14:39:44.550862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:44.550862Z digest=sha256:149a95352592570c06da4d002ca91e4d524244bf841ef80981a246cd6a73a4a9

Observation 2dec4895-714d-4d2e-bce9-9625ab7e9131 · inbound

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models cites this paper.

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models A Survey on Privacy Risks and Protection in Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T23:03:16.380880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:03:16.380880Z digest=sha256:05c3a482ebe6f8a73a850cf47573d4634b8736bcbf3910066ca05177b1f6df1a

Observation ccacf1fe-b710-4337-8d39-f68f084ff901 · inbound

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches cites this paper.

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches A Survey on Privacy Risks and Protection in Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:20:38.676164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T21:19:44.176374Z digest=sha256:e771d1852ef5858f4c1c50a936391f023384b7f3bb426fe62f2d8d0cf04badab

Observation 33da6e24-ab39-4afe-a16c-0a386f1e4cc2 · inbound

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production cites this paper.

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production A Survey on Privacy Risks and Protection in Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.832011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T16:38:30.184565Z digest=sha256:9633d7e8e74d4559ab87b784e3cd12014aea90eda61807ebd49912da524971f0

Observation 38545b2b-6f41-42fd-8124-913445ec744f · inbound

PRISM: Generation-Time Detection and Mitigation of Secret Leakage in Multi-Agent LLM Pipelines cites this paper.

PRISM: Generation-Time Detection and Mitigation of Secret Leakage in Multi-Agent LLM Pipelines A Survey on Privacy Risks and Protection in Large Language Models

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:31:18.997852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T03:27:56.191256Z digest=sha256:05ebb17157c2a69456056747657c73dda170a505a6835c5b34be11e072f8bcbc

Observation 5610a39f-a2c1-454b-9793-b418833a4264 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining A Survey on Privacy Risks and Protection in Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:27.110686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:27.110686Z digest=sha256:a90727f50897e9e78171d382e2bddf3d8c6997d0b7df1aa82f76aa05ffc42186

Observation 4d52f762-7f6a-4327-8ddc-a642e4ed3cf5 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining A Survey on Privacy Risks and Protection in Large Language Models

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:31.035205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:31.035205Z digest=sha256:80439627de9df3b6439d7a855166277aaeb705fdac466fcb8fb988f572ec126f