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Paper Citation Record · LEDGER

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference

As of 8 August 2026, this Paper Citation Record lists 100 of 173 outbound references and 0 inbound Pith citation observations for arXiv:2606.11592.

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

pith.paper-citation-record.v1
2606.11592 v1

Coverage vector

measured 100 of 173 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:38:20.816825Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 173 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c42c4d94-2939-450f-bb7a-10eb52607f5c · outbound

This paper cites 2020 International Conference on Data Mining Workshops (ICDMW) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2020 International Conference on Data Mining Workshops (ICDMW) , pages=

Reference 3

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Observation d9e2e298-cfca-4f9e-bbd6-0928e5ec3d55 · outbound

This paper cites ICML , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference ICML , year=

Reference 4

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:adcc1591ad013e9c9cfd57722e42d294e9b37b5c89b72ea361b22eb9099c95ac

Observation 4e22aef3-b64d-403b-a828-0868183546c3 · outbound

This paper cites International Conference on Machine Learning (ICML) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Machine Learning (ICML) , pages=

Reference 5

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:f4ff858146af2f92bafe47d39a590edacd3b1fc01f5b056c7482ccc5d9e4233b

Observation e0854d48-c89a-4728-97d5-26e74373133d · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 6

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:0f6dd91125b28612ebd3a4428c626f28a59184b8df80ac9457df5e9fef7e2cc7

Observation 05aea295-7f49-4266-996a-03baae2d2f0d · outbound

This paper cites 33rd USENIX Security Symposium (USENIX Security 24) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 33rd USENIX Security Symposium (USENIX Security 24) , pages=

Reference 7

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:f5a42b9e026332fede28140effc8f94d4a2170d29e31e41f0bba5d933774d723

Observation 6f31947b-98d7-42e4-936c-1840469e98c1 · outbound

This paper cites International Conference on Machine Learning (ICML) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Machine Learning (ICML) , pages=

Reference 8

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:81e218bf0f0635da4413f0de3256a25e1a30da6babcb8951c5329acaed477b5d

Observation 4798fde2-a20e-4af0-9d0f-11b6b5df8879 · outbound

This paper cites 2006 , publisher=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2006 , publisher=

Reference 9

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:210b7b95a29a797debff8c7d765a3aa05f3d275d0d4bd90106f98470f8b47428

Observation d31854c2-b38e-465a-8765-ae244e21c8f0 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 10

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:c17db7a3097dab055076ed0e0901846fbba1d8790a2b57403a877e52a196afa7

Observation a51fee39-50aa-481b-9c74-0e977fcce81c · outbound

This paper cites , author=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference , author=

Reference 11

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:8270cdd6d45b8034e243065c05d063663feb9800d292a696b6d9351df41c19cc

Observation 3d367a51-be84-4ce1-9d43-03f11a8eb827 · outbound

This paper cites 2025 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2025 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 12

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:a6e9ebf27d335ec3366e9b21b94fcd60c63a3727a21ec10597473605bfed45c9

Observation 4fe4589e-d425-4fa0-9a86-29506bd40938 · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 13

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:bc4454ab210cda189192951ec6ef645001d7e2b8f6a77c3020cdc5d6fb610789

Observation 5914987f-2a75-4c23-8b49-80d079940e43 · outbound

This paper cites International Conference on Learning Representations , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Learning Representations , year=

Reference 14

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:4d7febc75a81a1ad163c5b545825ad4f147905f2a7d63c2d98a430d51f109ad6

Observation 3c82d6e7-8b65-4c21-91dc-f8a526f046f0 · outbound

This paper cites International Conference on Machine Learning , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Machine Learning , year=

Reference 15

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:795a68ad2439cf416db772e7b1528936b6d2b5d3ff3026b0197ab44ca67ebd88

Observation b37501fd-9b5b-417a-8470-422084cb52ec · outbound

This paper cites John Wiley & Sons , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference John Wiley & Sons , year=

Reference 16

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:2a40622c2b8c59ebd0b88566b7466b8565c3fc4232b1cea0aaa6659a670dd205

Observation b045ae3b-1b66-45ca-a7e0-49d8757e7040 · outbound

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

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference LLaMA: Open and Efficient Foundation Language Models

Reference 17

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local_arxiv, observed 2026-07-03T11:18:03.504040Z

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No event found in the named queried sources as of 2026-08-08T16:08:17.350515+00:00.

source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b241de38347de6c02366309baf2be6cde3c094fd7bdc8b73fd3abed4f176d9d2

Observation f953aa6c-1996-4d81-bb85-534ee53914c9 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference OPT: Open Pre-trained Transformer Language Models

Reference 18

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local_arxiv, observed 2026-07-03T11:18:03.506439Z

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:aa995917ed4a01c5f294fcafd523ad5dbdd01bb1bbe2727225214813f63b124a

Observation 61397a8f-d7dd-4214-b0e0-838f0b8e43af · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Split learning for health: Distributed deep learning without sharing raw patient data

Reference 19

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local_arxiv, observed 2026-07-03T11:18:03.508958Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:f327fdb513228b6fedf749df8733d00b772a2b49ddc65d057a9c28d5567ad4f9

Observation 56bc492e-ab0c-42d3-a1aa-ad5f0a7ddb09 · outbound

This paper cites 2017 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2017 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 20

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:738f02138e8a9d500bf3d3edd37db57280b4a0ff3ca45ef42983d433caa7fb09

Observation 5539ef51-7627-4e29-8624-51730f0ddb06 · outbound

This paper cites Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 21

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:c450ef85fb032b410ffd91e90f1d18831138949ffce67c9645e574e35dbff3ba

Observation a9691d38-25bf-40af-a128-89d2f8f3aba8 · outbound

This paper cites International Conference on Machine Learning , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Machine Learning , pages=

Reference 22

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:7da51f13804c93c50693a22225ac23bdb9ef93866a81d6fd0c70dde71274ea33

Observation 7f83a240-f33c-4ec1-b029-7484cc7d2bcd · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 23

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1b2b580253322d3002a05b577d95f578ff2a54f5ea442af48429701df673d50a

Observation dd0a27dd-f1a8-415d-9a9c-db63b3179365 · outbound

This paper cites ACM Computing Surveys , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference ACM Computing Surveys , volume=

Reference 24

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e4efcceaab7136d0ed75eba2319a3cfc98bc350f5f141bd80b2c5b7ce55dea4e

Observation 31bfb116-5797-468b-a1fd-bb6e4f7eac9a · outbound

This paper cites IEEE Communications Surveys & Tutorials , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference IEEE Communications Surveys & Tutorials , year=

Reference 25

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:ab17d80054ae5f3297243079fff32560720183e37c5d86a292d2fa17e9d05216

Observation 712031c1-6c17-4964-a4d0-2276cb3f7c1c · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Forty-first International Conference on Machine Learning , year=

Reference 26

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:a0bd3d9d7c3e5401a55650326677db11770be5609ace08aae7eda6342f4a3b7e

Observation 2520087b-64ab-46de-9bdd-03f33d049c6a · outbound

This paper cites Proceedings of the 29th Annual International Conference on Mobile Computing and Networking , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 29th Annual International Conference on Mobile Computing and Networking , pages=

Reference 27

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:44c6306720d799202965fa4810646087733d7da91db1338097558a8af87c0152

Observation 5f53ee9c-8e3f-40ed-ac2b-68bdfeaf2658 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Forty-first International Conference on Machine Learning , year=

Reference 28

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e76db148e74c206736e41cc59b01c37703a2fcad4252177c9611422d5696f02f

Observation 31c2e0cb-8c9c-4bd7-b85d-68695914d704 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 29

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:79b391d4c8d62b6df18a0c5a52c07685475434b1dc7ff47eb1e270cc020edbfa

Observation d791cf5b-ac2c-4bb8-9308-b5705e00aa47 · outbound

This paper cites ACM SIGARCH Computer Architecture News , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference ACM SIGARCH Computer Architecture News , volume=

Reference 30

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:766391acc38b0ece80b8c722117df9e5e00b20f36317c044e4186097f4629371

Observation 380e1026-3f7e-4a2f-82db-dee04b677671 · outbound

This paper cites Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 31

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:333023b21f336f597bf598722c0a43adaab2afe4ef5a676486a5b89af052079a

Observation 9fdb6fe9-6a24-4ea4-9f64-aaa674334d0c · outbound

This paper cites IEEE Internet of Things Journal , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference IEEE Internet of Things Journal , year=

Reference 32

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:c76eb18c54b7269d2db02ad3e9daa1d279bb793ceb23cbe34e3471c56bf2a033

Observation a16817ba-e7f9-4026-a361-de0fc554a7f7 · outbound

This paper cites 34th USENIX Security Symposium (USENIX Security 25) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 34th USENIX Security Symposium (USENIX Security 25) , pages=

Reference 33

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:d61deafd3cbc562ce041790464173f209eb9c0fe1b83e11ddb7f0495fbd83eeb

Observation 67566f43-b9ac-4907-840b-32d0eef8becb · outbound

This paper cites Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 35

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:c78abdb6e7c059b70aefa1ce96d6baed942345b3279d3dde506821a91c023f61

Observation 57676bd2-45ae-4332-8d2a-08976dabefdb · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 36

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:58e73deb0c81f34a0a5aff4ca37b3509426d471712379e4ee092da1d2b14881c

Observation bbe3d038-fee1-43ee-98ea-ce288e30534a · outbound

This paper cites IEEE Internet of Things Journal , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference IEEE Internet of Things Journal , volume=

Reference 37

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e9f030c519d0e20cfe2ae9317fedfc7026a7e0ac46908338f51c9b8f0dfc16f7

Observation 248989a5-5ec3-49c1-b3db-430fc364e91b · outbound

This paper cites 2019 IEEE symposium on security and privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2019 IEEE symposium on security and privacy (SP) , pages=

Reference 38

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:197962f4b80a41429bc586dbb038f95942bd989963e9b5d20711a40bd5fc0787

Observation 4380471f-eb9b-4014-b5cf-05cff325ce51 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 39

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no resolver link, observed 2026-06-27T09:38:20.816825Z

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:0c46950977ef4a85ca8cca46ae6f6cc7b427a22e57148fa919f557491f6a522b

Observation 7c6f23dd-c1ee-4f95-8f55-ffff195f453b · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 40

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:f26133e84a6a70fb66cc90222e6883ef22b0867975ca3d0d15e064e46b5a9b64

Observation 9580fc54-1945-4507-a7dc-1878f75cb326 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 41

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:5387a7c267acde3beeb1764e82cff5cbb99cf4406250d73ed95fa5881e8dd594

Observation efc4ac31-a4cc-4082-869d-d7ee357433c7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 42

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:574525f0eb0b10df773894c561e23f9ca7e27b59c91a190cb7571de0c95efb01

Observation 4b589f9e-f588-4de4-8b5c-4f40bd44eb85 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 43

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:79aa36ba2516bb174a9fd1eda2722dbe90c6a4f927e9a7bc7a364d3430796faf

Observation 14990a8a-1299-4d0d-bb34-8b5795312f2f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 44

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:5170fafd4a127a12fc540e78867a2cc37cd43a4228ed2810437da787b766254b

Observation a2b4690c-8a0e-4409-8b84-ff5fae4cd46c · outbound

This paper cites International conference on machine learning , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International conference on machine learning , pages=

Reference 45

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e74e79ec4bb12d66e92d1379dc0930e8e9339769898135db6dd87a8983bed156

Observation 69725588-10fb-44db-90ca-083a8df56a5e · outbound

This paper cites 31st USENIX Security Symposium (USENIX Security 22) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 31st USENIX Security Symposium (USENIX Security 22) , pages=

Reference 46

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:9d67be19e0e9fb97cff4d9e672a48939b9ece56ce04a85f13089f0abb979e5d0

Observation 7541bb65-f58c-4a7b-a837-cb42b5df7ebb · outbound

This paper cites 2024 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2024 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 47

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:29c3208ed800508a3044ccc55f062e0639a30a6c382533119981ef8fc9c2f4b8

Observation 13a93d54-ceaf-4ba8-a9f4-75318f2aab43 · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 48

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1f1ccb27bca35a7ce9a53a577200d10afbc17130dd4cbd323c197b9b668d40eb

Observation 2bf2601b-973b-4c63-ad88-11c43050759a · outbound

This paper cites 2025 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2025 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 49

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:48663f76346a6f1f4a2801b0e0e783ea8bc630d4077f18b27ec0aa9934601598

Observation 4c7cfa70-c47f-47ca-ba50-5ef71bf71f62 · outbound

This paper cites 34th USENIX Security Symposium (USENIX Security 25) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 34th USENIX Security Symposium (USENIX Security 25) , pages=

Reference 50

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:060afa4c6c4f9d732f98eab6a0a1ef7d5d098e1b809c5022bb2e767a4675fc6b

Observation 50949785-7e77-4dad-bd0d-76301b88fb9c · outbound

This paper cites Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 51

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:84a6af002bdcc8a3fa0770b0a6516e90a3c32678a74a0a1003addd82ce8a2e0f

Observation 023e9ebe-5351-4e22-bee4-712b1197d23d · outbound

This paper cites 2024 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2024 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 52

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:4a30f15cded958185243c1abfede373142f223eed1e8f3329426e12707162e3c

Observation cf41f015-04f6-4e68-9f15-ad80d887ae36 · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 53

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:0f9348faea07119684f02148b5d7af05caa6c3bed8577b2906fccc3d44ac0b85

Observation 479bd3ae-9ef5-46cc-bd26-83744d03eeee · outbound

This paper cites 8th International Conference on Learning Representations, ICLR 2020 , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 8th International Conference on Learning Representations, ICLR 2020 , year=

Reference 54

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:26a3685514c53bbc63a14e254c9284e8d4474828d5c14c55feb38eee632517a2

Observation 6a769ebe-fee5-4890-8c6b-b42fb6cbb364 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 55

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1525743f79824cf3b675a3435fbeed1110f6cd083eba236f9297e5352add4197

Observation 246d3b16-3e57-4fdc-aa81-d94faa112a0c · outbound

This paper cites MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture , pages=

Reference 56

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:a990357e77274e295f1e0feffa96891bd9a3f3411b4dc57edf0b611b0d9897cb

Observation 9048b0f6-3bb8-4909-92e8-a96742a00ce3 · outbound

This paper cites 2021 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2021 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 57

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:39abc8c593df972fa0e2123e29b54a8a9f64e0561dc29b668baa985de62cf23b

Observation 3f427bd0-aa72-4a30-8a30-c283298862b3 · outbound

This paper cites 29th USENIX Security Symposium (USENIX Security 20) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 29th USENIX Security Symposium (USENIX Security 20) , pages=

Reference 58

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:97e5443128fd78287235715c5dcd62ba7773b0b4b27a4f9b7d874119f5771413

Observation 9ccb3f6f-970a-4b15-b071-dee57ea75b32 · outbound

This paper cites Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services , pages=

Reference 59

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:cd567e4a4e419b316c4d8b5c5c1997b1134e605fe08adf5b9a2f45e8da2ec388

Observation 5eced2da-73ef-4bd6-80a6-fdd44fad8e27 · outbound

This paper cites 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20) , pages=

Reference 60

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:6c009e0a5a9154ea6d9f50ac5f2bff1ebeca4eb614a96cc8f38d68fb845dd7c7

Observation b594575b-3fe1-4b83-9837-82acc1b508a2 · outbound

This paper cites 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages=

Reference 61

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:a1feacc86e442fa931088f8f7953c1792680586488026e45327a13da14c68ed9

Observation 49bbbc06-dc42-4b6a-91d7-f650c09cd979 · outbound

This paper cites 30th USENIX Security Symposium (USENIX Security 21) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 30th USENIX Security Symposium (USENIX Security 21) , pages=

Reference 62

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:7f4fb304d109543b773d8f2bfe3913f5ab62e5a2fad0e739144014caebd972fc

Observation 46677816-49cf-41d0-893c-c8d93c5f5633 · outbound

This paper cites 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages=

Reference 64

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e84157626733ab3be73bcdd7434f94d3b69c293050d7dad3ab77164d290d2576

Observation 58c99e2e-1342-4933-871a-ff23d8e40375 · outbound

This paper cites Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems , pages=

Reference 65

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b2b23afa4eee9b1870777f87ce3b8c0b8b0b11569933b1e66fd317256f25f892

Observation 7c464a91-9571-4ed6-a4ac-b79a298bd03d · outbound

This paper cites , author=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference , author=

Reference 66

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:7043f74c563409f855a0735aeda8b0d00f74d84c2b38fb528da1215b12fc090a

Observation 3a5ad35e-a4e0-4fbb-b830-23902562c4a7 · outbound

This paper cites MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture , pages=

Reference 67

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:2921936048320a9fc0d6ae677ee36cd9660a728df831f85d1de8f7643b4416cd

Observation b00f65a0-94d2-453a-9d7f-0fdd9537516d · outbound

This paper cites Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems , pages=

Reference 68

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b35d75e981e7fe88c7fc7f7015014bcd748bd8641bfde5f5bd92dc15d1c2eb5d

Observation c6d13a1e-3550-444e-a902-cd6095bb9ff4 · outbound

This paper cites 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) , pages=

Reference 69

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:57e79f119a5aaefd9b0943048ad8017f8a420f5a34ada6ed9f69fa8b61b31781

Observation 5d171d2e-3916-4e0a-a587-25dfa6c74c4c · outbound

This paper cites 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) , pages=

Reference 70

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:59419b38c103b92e4d6e5009ee3cc24d57c6c14e3a513fc257b54525c6ae4392

Observation 90f4e9df-4409-4b4f-a90b-92ba7a1e3018 · outbound

This paper cites International Conference on Machine Learning , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International Conference on Machine Learning , pages=

Reference 71

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e5b598d536f1644c6cb8ff9c3d9eb0050dc454b3fa389d23a7b8f5755c6cb004

Observation 5747b46d-dac9-4c07-8afc-88257e299bfc · outbound

This paper cites 2020 IEEE Symposium on Security and Privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2020 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 72

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:41656a80b995b786eec25ffb48b8081ed2904959226f60d19befe6cb90d9dc76

Observation cde557f5-f26d-4ce6-bc7c-e11136558a91 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 73

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1e038d08239902f091ee8c75a350aadf1cd2c721ba4313bbc17cf1c6e4792038

Observation 04e8317f-7b7b-4721-aca2-d7ba3dc0c325 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 74

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:90d740d55a6e4c1d2f4784697303cc7cacff86f0572fbb9fe1ba25910382bf46

Observation e3008d55-061f-4019-8269-9e6bab93cfec · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in Neural Information Processing Systems , volume=

Reference 75

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:98bb6d499d6a48f475e27bc65fa777d22a39508c07acd0ffaac3e9308b2e8a02

Observation 626dcfa7-53b0-42c2-a804-6cfc1fc62058 · outbound

This paper cites Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services , pages=

Reference 76

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:9bef563c63d29f8bc72d085903e5f265ede2bea7df05b2e23716d0c9011885b2

Observation 585d1734-8176-4bda-930c-a516e44b5657 · outbound

This paper cites Proceedings of the Web Conference 2021 , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the Web Conference 2021 , pages=

Reference 77

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b07608765f75584d076f1da2bf259c1a2693c16bee5363570cacd7e41a16f376

Observation 47d1d7ca-3a95-48bc-a600-cd0003d719eb · outbound

This paper cites Proceedings of the International Conference on Internet-of-Things Design and Implementation , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the International Conference on Internet-of-Things Design and Implementation , pages=

Reference 78

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:2c3cd927775460c47873a7de4da8958868b134936474518a45c4c851d85174e6

Observation 3fc16703-97d7-49d5-b348-f64c7365088a · outbound

This paper cites Proceedings of the International Conference on Internet-of-Things Design and Implementation , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the International Conference on Internet-of-Things Design and Implementation , pages=

Reference 79

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:4488ebc21db74e3fd7f64d90d33a0b48eb5a69bdb8719a071f0e5a8abb178e96

Observation 8e9cc4de-cfb3-4eda-a3e2-2faf256e7b1b · outbound

This paper cites 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) , pages=

Reference 80

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1706f16181d3afba28f85eadf988ef6da30baf91d00e571276e662d8bf01c32f

Observation fe4c10ea-f0a9-4181-b78a-fac6bcabcbdd · outbound

This paper cites 2020 IEEE Security and Privacy Workshops (SPW) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2020 IEEE Security and Privacy Workshops (SPW) , pages=

Reference 81

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1d828a539ffc999a3b0daaf08062cfe1051b3f60ac43301be64cf830d502ecd1

Observation e8e343e0-d033-4e08-8fc5-8206aa665866 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 82

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:2778d709f67a41a9af0564b65bd5f135759bab9744b5c1d4eb488feaacb07671

Observation 75791925-0313-4839-a01e-5ecd78f4ddee · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 83

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:108c198252ce43dbdd12556c05bd265b6da74403402cbf29ac3eb3432b460d27

Observation 5bbd8858-b55b-412e-9106-767b8998eb58 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 84

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:52e0d27b9e838bad83696b1f9169e3f8f111ff95d9a54802c0abfd79a8e833c2

Observation 5c44475f-6ac2-4217-9cab-73abca05949b · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the European Conference on Computer Vision (ECCV) , pages=

Reference 85

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:152fee42217b331aec47a1a6a88c6e7e99f5919c6b88508399e417c7e7224005

Observation a349b070-e909-486f-b8c9-09395bc9562b · outbound

This paper cites Advances in neural information processing systems , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Advances in neural information processing systems , volume=

Reference 86

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:d6f433a74047cd59392b061097fc4ece2664da630291b0e86fe29f2d3a8a7c90

Observation 5604e270-e082-4388-9fa8-ddadf437be95 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 87

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1626c238a30e7b8778146e1f4b7f2f90aa235dfce66f4dc7e89941948b091f7c

Observation 361b3fc5-4c75-4e21-9a25-df7348765a3d · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 88

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:c7a44d3af209556bbe5328b7305c8af9a985853f1a304421a284b330fe822b65

Observation f0a84e8e-00c0-41da-90a9-b5a4a5353f2f · outbound

This paper cites Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

Reference 89

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:1f21e0f68d6150e3fd40b6e77537957dda62d8c40c39653f2118b819792ed2df

Observation ea4b202c-3130-459c-8ff2-0e335f60badd · outbound

This paper cites ACM Transactions on Computation Theory (TOCT) , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference ACM Transactions on Computation Theory (TOCT) , volume=

Reference 90

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b9090b13751755ccdd5d94bd0c83718263c3671aaa5ef62e06b97bc3c375b630

Observation 48b6b669-fc69-417b-95b7-f68eb1132b3e · outbound

This paper cites Cryptology ePrint Archive , year=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Cryptology ePrint Archive , year=

Reference 91

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:75b021e81c6c7639507f28ea725536beee852fd89962e5f4d6eaf5be25867ed2

Observation 8f233b72-9851-419e-beac-be6a594dbef7 · outbound

This paper cites Annual Cryptology Conference , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Annual Cryptology Conference , pages=

Reference 92

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:b3d1285212a8cd31c73f9f7bd241f44c59451464eb43e94523b6ce8691b323ea

Observation d2732613-0e6e-4d06-aee6-80ac20db5122 · outbound

This paper cites International conference on the theory and application of cryptology and information security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International conference on the theory and application of cryptology and information security , pages=

Reference 93

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:29bb9a1a297666e5b6eb30d6fd1463fa285bd453c7c2adfac4b4b0762782b3bf

Observation 6912e49d-8409-4df5-b3cf-68c4b90a627c · outbound

This paper cites Journal of Cryptology , volume=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Journal of Cryptology , volume=

Reference 94

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:f07514c8b97ef3229fae052507f7a69e68513ecc702075bee93ce4eb997c7974

Observation eca775b4-3634-446f-aca3-f967066abdcf · outbound

This paper cites 2022 , url =.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2022 , url =

Reference 95

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:357c4b19878bf312323032e2e16537483bfdabc03cda51b8c67b78ba6002ad37

Observation 6147c9a5-acc0-43b0-9ede-abc51c5c87d9 · outbound

This paper cites 2022 , url =.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2022 , url =

Reference 96

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:830ada6b40edffde4dfaef431efda29bbc17f8271ed92b323fa848ac7ee5dd02

Observation ca0260c2-e714-4ae2-ac6b-6e226573a82b · outbound

This paper cites Introduction to Bayesian Statistics , url =.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Introduction to Bayesian Statistics , url =

Reference 97

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:4fd2bba0b15f828c84d6c1a57651383172ca9f1934c88b58498afa782234399c

Observation 2e54981b-046a-4902-9284-3789db50309a · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 98

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:30ce84abc7293bd76b014df59699b7d6a8034dc9c86035915829e23541876b81

Observation 8d279180-307c-4846-a920-1dce677429d2 · outbound

This paper cites 2009 , url =.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2009 , url =

Reference 99

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:e6e282dfcfa2059ff0f14a382fc0fcf5ceaeea68494d4922e1b2253a3dadc089

Observation 00573738-c555-4691-ae5f-bd0430322bf5 · outbound

This paper cites 27th USENIX Security Symposium (USENIX Security 18) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 27th USENIX Security Symposium (USENIX Security 18) , pages=

Reference 100

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:8edf9b6e93c76674859c83d70780b8b525fbc6a45f8539b0dd2eda6fc292b359

Observation f5477258-4486-4cae-a714-d811d0ae899b · outbound

This paper cites International conference on machine learning , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference International conference on machine learning , pages=

Reference 101

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:ad5838cccf4b0c7b2ab44823f2ca5b1c74bee5497b28722496773d2733892727

Observation 0bf7bd3a-7574-425a-ad75-f3eed001900b · outbound

This paper cites 2017 IEEE symposium on security and privacy (SP) , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference 2017 IEEE symposium on security and privacy (SP) , pages=

Reference 102

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:052948d4ae1b8e5ebaa8f982add6c146befadb418bca12a5745d788d245e8688

Observation 03d6cf49-254d-435b-8fb1-2eaaccb64bed · outbound

This paper cites Proceedings of the 2017 ACM SIGSAC conference on computer and communications security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2017 ACM SIGSAC conference on computer and communications security , pages=

Reference 103

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:2a4852c54662a09a32994d812b633a7868544c899f6bf3ee1455e4e908277131

Observation b9bb994c-4df8-414c-997d-53a67501051f · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=.

Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

Reference 104

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source=arxiv_source observed=2026-06-27T09:38:20.816825Z digest=sha256:76aff35ef24b0f921311593522e8bdf52102693fc0ae15472c9ec190c61a9b9c

Pith citing papers

No inbound Pith citation observations are available.