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Paper Citation Record · LEDGER

Privacy in Large Language Models: Attacks, Defenses and Future Directions

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2310.10383.

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

pith.paper-citation-record.v1
2310.10383 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:44:36.711587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:54.879675Z

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Outbound references

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Pith citing papers

Observation 74c8f7a1-256d-4a05-8b0f-580fe255c9a5 · inbound

AIDBench: A benchmark for evaluating the authorship identification capability of large language models cites this paper.

AIDBench: A benchmark for evaluating the authorship identification capability of large language models Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 17

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no resolver link, observed 2026-08-12T16:44:36.711587Z

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Observation 8f494c77-f833-4250-971d-2695559bda43 · inbound

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier cites this paper.

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 2021

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source=pdf_text observed=2026-08-11T21:38:37.636090Z digest=sha256:681493c65c6ead9b07482ee166e94b42658c045810fe44baf0851671254de792

Observation 5af35c36-e57b-4de8-a8d8-df373626ffec · inbound

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions cites this paper.

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 21

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Observation 2c7f2adf-d77d-4ae1-9b4e-fb51b1c9dc33 · inbound

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey cites this paper.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 61

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source=arxiv_source observed=2026-08-09T21:58:40.792758Z digest=sha256:b0047913946caf293c7f0935990f314c51748968314277d12ee48cc944cef539

Observation 02efa6af-57b0-46be-95c3-1787e2a61155 · inbound

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion cites this paper.

RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 23

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arxiv_id, observed 2026-05-23T00:15:14.857269Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c59c179e-81a5-45a2-afc1-87ed334df0df · inbound

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning cites this paper.

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 26

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Observation ef2e2fb8-9eb6-49db-977a-119cc0402e97 · inbound

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons cites this paper.

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 26

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Observation dbd71310-6ed5-4980-8b3e-75eb071e74d4 · inbound

XToM: Exploring the Multilingual Theory of Mind for Large Language Models cites this paper.

XToM: Exploring the Multilingual Theory of Mind for Large Language Models Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 10

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Observation 561bd4dc-13cc-4ab6-8b1f-3db001bc89ce · inbound

Towards Provable (In)Secure Model Weight Release Schemes cites this paper.

Towards Provable (In)Secure Model Weight Release Schemes Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 2007

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Observation 87e7605d-5449-4237-87ed-abfbf8fe873e · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 47

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Observation 554559bf-261f-49a6-890b-fb8bdf82fe8e · inbound

HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring cites this paper.

HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 11

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Observation ce3e05ed-1ce7-4c3e-bc7c-d7cfc3e1f6cf · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 174

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Observation 6c2b942d-ee89-4d4f-a83f-80a4f4abb29b · inbound

Public Data Assisted Differentially Private In-Context Learning cites this paper.

Public Data Assisted Differentially Private In-Context Learning Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 17

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no resolver link, observed 2026-08-04T17:28:49.285436Z

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Observation 22bb3e5b-2176-4818-ad0c-699ef54dd71e · inbound

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework cites this paper.

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 23

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arxiv_id, observed 2026-05-18T18:16:43.732918Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 91bde736-4963-424e-a752-2279ac57af73 · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 1

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arxiv_id, observed 2026-05-18T04:25:52.235408Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 197f8de6-c5d7-4ff5-ab03-f036496473fb · inbound

The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer cites this paper.

The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 12

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Observation bcd52294-5c42-476a-8bf7-4e86cc1bc383 · inbound

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation cites this paper.

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 27

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Observation 6ce2805d-deb7-41c3-90ee-0ce1b1361488 · inbound

Understanding User Privacy Perceptions of GenAI Smartphones cites this paper.

Understanding User Privacy Perceptions of GenAI Smartphones Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 43

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arxiv_id, observed 2026-05-10T23:10:51.632484Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b629fef6-6598-47a1-80f7-89cc574f2301 · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 33

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arxiv_id, observed 2026-05-11T13:41:05.497592Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4578cf47-3ca1-496c-a0b8-937c53900a16 · inbound

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models cites this paper.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 15

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arxiv_id, observed 2026-05-11T21:16:33.235994Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4ffed18d-738d-4cce-9f30-873bd67a6fb2 · inbound

On the Privacy of LLMs: An Ablation Study cites this paper.

On the Privacy of LLMs: An Ablation Study Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 27

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arxiv_id, observed 2026-05-09T06:25:48.848780Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 48b0bd11-281f-4b11-95a8-f80ccd22067b · inbound

AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns cites this paper.

AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 2

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arxiv_id, observed 2026-07-04T14:59:54.882536Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 60874a1c-85b7-4c53-9614-d7701099337e · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 47

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arxiv_id, observed 2026-07-01T09:25:40.719019Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e635d5aa-2b05-429b-83fd-2de78ee8309d · inbound

MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning cites this paper.

MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 5

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