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Paper Citation Record · LEDGER

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

As of 17 August 2026, this Paper Citation Record lists 100 of 182 outbound references and 5 inbound Pith citation observations for arXiv:2505.01177.

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

pith.paper-citation-record.v1
2505.01177 v1

Coverage vector

measured 100 of 182 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.625258Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:07.048540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:21:25.111401Z

Reference resolution

100 of 182 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1a1b19a-ae29-4ed5-a005-b90a85114152 · outbound

This paper cites Brendan McMah an, Ilya Mironov, Kunal Talwar, and Li Zhang.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Brendan McMah an, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 1

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no resolver link, observed 2026-08-16T04:28:00.133759Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:28:00.133759Z digest=sha256:4564478a5e23f980df67af44e4f12854b96a45e915c8bb8ed00d6d337ca7590f

Observation 7dd4dfe8-7384-4d30-9dca-b3fdc30478c0 · outbound

This paper cites Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 2

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no resolver link, observed 2026-08-16T04:28:00.140403Z

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source=pdf_text observed=2026-08-16T04:28:00.140403Z digest=sha256:b84a6a6e74bb7e156db18b7e2b1795285b558977d41db7895a728f706537388e

Observation f3c74a41-d9c5-40a1-95da-cd481d1fb9e0 · outbound

This paper cites Can LLMs be Fooled? Investigating Vulnerabilities in LLMs.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Can LLMs be Fooled? Investigating Vulnerabilities in LLMs

Reference 3

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no resolver link, observed 2026-08-16T04:28:00.146236Z

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source=pdf_text observed=2026-08-16T04:28:00.146236Z digest=sha256:f9598acfcc819746e3be24eac18b1a90286a844a35afd32637712d1ba2e29d08

Observation af693e44-face-4913-822f-59ece22121a9 · outbound

This paper cites The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

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source=pdf_text observed=2026-08-16T04:28:00.154233Z digest=sha256:02cee7d866a6ba6b5fe3ca46ed2295e2afbb3a0d1d64bdaffc7dbe8ddc5bad71

Observation bf73594a-befb-4461-960b-209e12a93f59 · outbound

This paper cites Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

Reference 5

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source=pdf_text observed=2026-08-16T04:28:00.160426Z digest=sha256:c2f134d73a83fe0faef72431b7a0a8bd561dc5ac7c90fbd6c435c9cd86850167

Observation 2da8d6ea-fbad-4eb7-9437-a663a315a576 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Detecting Language Model Attacks with Perplexity

Reference 6

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no resolver link, observed 2026-08-16T04:28:00.165993Z

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source=pdf_text observed=2026-08-16T04:28:00.165993Z digest=sha256:90e9a358cbe06947fe6dfc04e8f2081407277173935aca77a7d5211aa07639c5

Observation 8ca06c42-ff59-4336-b566-8633672bd4b4 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-16T04:28:00.171788Z

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source=pdf_text observed=2026-08-16T04:28:00.171788Z digest=sha256:814abe34fa056c600d716b1d31f5115931a18e8d1e1eb8b08c9da5e33f3f6418

Observation 0769afc5-55b6-4675-8b45-f6125c3a9878 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-16T04:28:00.175974Z digest=sha256:717cc72f4d099903582f6bbfb1778771712791e22613a510bc8a4d149e96f977

Observation 437fc18d-8b6f-4c44-8f98-4e5d102caaaf · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-16T04:28:00.180146Z digest=sha256:0b09d9c92d55669c14659b63c2282a5d47ee1f293ba77a797f6ff741a3e43c29

Observation 8709e6a1-a9c8-46c9-b32c-37541262cfae · outbound

This paper cites Joseph, and J.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Joseph, and J

Reference 10

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source=pdf_text observed=2026-08-16T04:28:00.184085Z digest=sha256:83072ea6861e226f93eb9c887e1774bf03889670c45b6df93e656051a210f855

Observation bb290e65-0592-4e7b-8550-01d9a8c53d38 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-16T04:28:00.188131Z digest=sha256:72d70ec9ad1a979c0f881d0ff6ee34b4c11a2e83197bf6ab2a1fccb5e0105f60

Observation 0fed1888-8f69-4cbb-b13e-5a51b684e874 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-16T04:28:00.192433Z digest=sha256:55d60996fb6adbb62183ca7896afc9482b52711c9471da7f2381d1e1339cbc05

Observation 6391ab4b-ed38-44b0-9f6b-24fc40185079 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-16T04:28:00.197512Z

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source=pdf_text observed=2026-08-16T04:28:00.197512Z digest=sha256:2642c36321c579cba0929a27a1e53bcd6170ba2ad80d4d40fb6c2d90e5d569eb

Observation e8d3535e-3d7e-440c-ac0e-defb7f0efa9c · outbound

This paper cites Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions

Reference 14

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source=pdf_text observed=2026-08-16T04:28:00.202359Z digest=sha256:24673f2d4a5b123060a439f457d5330492bc5c4061c735f534847a735015c698

Observation e33cdea6-fdb2-4f34-bff3-1c90b85bdb01 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-16T04:28:00.210164Z digest=sha256:f31e6455d680b186e844c14db1d286fc1834863debfed2eb47fec509e00b2058

Observation 2e57fc92-d1be-4913-9da4-ad5d56873b7a · outbound

This paper cites Model Leeching: An Extraction Attack Targeting LLMs.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Model Leeching: An Extraction Attack Targeting LLMs

Reference 16

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source=pdf_text observed=2026-08-16T04:28:00.215569Z digest=sha256:650abf779190e677034d5f5716d7dc53ceac3517f8ac11522274251657acc39e

Observation 50fd78dd-79b1-4456-94f4-16667e95b664 · outbound

This paper cites Language Models are Few-Shot Learners.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Language Models are Few-Shot Learners

Reference 17

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source=pdf_text observed=2026-08-16T04:28:00.220913Z digest=sha256:eaabc8811fd6e768f7d823b613d8ac032595b475ca4ab61fb0e74c5a371de8c9

Observation 29223383-ff4f-481a-a3f4-74d24a946c9a · outbound

This paper cites BadPrompt: Backdoor Attacks on Continuous Prompts.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures BadPrompt: Backdoor Attacks on Continuous Prompts

Reference 18

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source=pdf_text observed=2026-08-16T04:28:00.225094Z digest=sha256:b834f27ecc7290ef9d3e060f9dacd2a0d35c294dd0393b128833717cee010f28

Observation f17ba9f3-4132-4afc-a95b-7eaf3b8eb77c · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Quantifying Memorization Across Neural Language Models

Reference 19

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source=pdf_text observed=2026-08-16T04:28:00.230599Z digest=sha256:e0827abfa99ef11d61e76ff75c46e4ada189066106552e19f1cab0d9bef124e0

Observation 3d9233b5-1230-41d7-83a7-90f4876b38f5 · outbound

This paper cites Poisoning Web-Scale Training Datasets is Practical.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Poisoning Web-Scale Training Datasets is Practical

Reference 20

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source=pdf_text observed=2026-08-16T04:28:00.236245Z digest=sha256:790db2297b054f360ea15c44c134deefd47d1d70a8d76fe4efef5a3ec253ab16

Observation 5a921b22-f3f6-48a3-a627-05e39d8f822a · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-16T04:28:00.241993Z digest=sha256:ee5a42d180fc0b458d3e288e4f7e8776379e09243d332cd61b055b0d1daa729e

Observation e299b7c9-9d6c-4b7f-bd15-14e2e71d7f09 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 22

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verified exact
doi, observed 2026-08-16T04:28:01.297262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:28:00.247342Z digest=sha256:55dbf37693bcb1152601a169b36a6491c79b8026a4eb13386b87396e1ac5414a

Observation 5a9ae4d5-984f-4503-a2d4-a27e289da27d · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-16T04:28:00.253833Z digest=sha256:6e79d9bad7d09ab31393c6a6310ba771969bac68150b0d44c141b39f3e859449

Observation db711c7a-3978-4399-a88a-777c8d088df9 · outbound

This paper cites Yu, Qiang Yang, and Xing Xie.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Yu, Qiang Yang, and Xing Xie

Reference 24

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source=pdf_text observed=2026-08-16T04:28:00.259146Z digest=sha256:51f777aa2c39eac827c108d712af5c3397d69364989ef7a1d15224207e1f2a8a

Observation d49ec991-d2d4-4fac-a39b-9793d4956447 · outbound

This paper cites RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 25

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source=pdf_text observed=2026-08-16T04:28:00.264453Z digest=sha256:e7860134f34fb8c1a69a960fb816b5f1b35684b0285b0ab0b7a89f04e2576b47

Observation 48e2eb24-a5e0-4a72-989d-f9ba5bf0ea1b · outbound

This paper cites Text Embedding Inversion Security for Multilingual Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Text Embedding Inversion Security for Multilingual Language Models

Reference 26

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source=pdf_text observed=2026-08-16T04:28:00.269637Z digest=sha256:29d2124635fe8e890412f3398d559beb66b97c8daad2a77ad06659baaea841c7

Observation e84fe767-7337-42b0-81b2-4c80cbd68d45 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 27

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source=pdf_text observed=2026-08-16T04:28:00.273746Z digest=sha256:97db9496c9eee33fae9cb8454ea31ae0383c859b97639e7be57770a69760b9bf

Observation 394b134f-23e6-402d-8d7e-591fa1b2be82 · outbound

This paper cites JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

Reference 28

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source=pdf_text observed=2026-08-16T04:28:00.278429Z digest=sha256:13ac4cff7d9418438c3393f24ce7d3dca24b01375822b859f3efd759282dcb45

Observation 4003cffa-81af-4470-87e3-56ec5aa1868f · outbound

This paper cites To Transformers and Beyond: Large Language Models for the Genome.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures To Transformers and Beyond: Large Language Models for the Genome

Reference 29

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unresolved
no resolver link, observed 2026-08-16T04:28:00.283016Z

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source=pdf_text observed=2026-08-16T04:28:00.283016Z digest=sha256:ad333f0aca14b028c52ddf7ce75bd96eec0f3a076fd66c823cafa188dc1e085d

Observation 43c9dcc0-3703-4189-ab07-a29d015a54de · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-16T04:28:00.287315Z digest=sha256:748c421057e8c1c06d60703fd1b59d38a314bf966a25e87655412e650899616a

Observation fe0a41de-a9ab-4a8e-81ae-fb7425bcc7ed · outbound

This paper cites Security and Privacy Challenges of Large Language Models: A Survey.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Security and Privacy Challenges of Large Language Models: A Survey

Reference 31

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Observation 26436dc7-6147-439b-8b9f-f07a66e7d99b · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-16T04:28:00.296398Z digest=sha256:aa6fd86da7f474342b105dcbf4dfa8085849928160083c5a0999da8e9c7dbd2d

Observation 53e9905e-69ff-4ce6-9c36-7f54a92f5fcd · outbound

This paper cites TAG: Gradient Attack on Transformer-based Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures TAG: Gradient Attack on Transformer-based Language Models

Reference 33

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Observation d3453e82-ef8b-43f5-b5fa-64de89b0453b · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 34

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source=pdf_text observed=2026-08-16T04:28:00.306118Z digest=sha256:c51abed54e2c276df9593d732da221ace1a48ee59960c6c56e4d9b802bebef5c

Observation c5ac0122-e97f-4680-b253-47beaf381793 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-16T04:28:00.311093Z digest=sha256:1a1f9077e368d81bd4868563e6f0ae090cfd845e8f8348036f10563129a8dc8b

Observation 3ddded70-1281-4b10-a7ec-c307e70a68c3 · outbound

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

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Do Membership Inference Attacks Work on Large Language Models?

Reference 36

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source=pdf_text observed=2026-08-16T04:28:00.321377Z digest=sha256:841497c6ea9ef09fce94883b412f13ea86b048eb022a7a9ce7a4a7c38d2032f4

Observation cd7b6a6a-ac8b-4136-8c8b-3ee9b679c7f8 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-16T04:28:00.326270Z digest=sha256:7f716ded1f59c331eece899ca8aa4b980172876bf2e1ec03913880afb56aaeca

Observation c9983046-6013-4301-99c0-a6f56b2a204d · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-16T04:28:00.330931Z digest=sha256:f4e3c01efd8882f5bcbb33a14911e3ce559b419ae75a4e545701f389d1cc0b18

Observation 1e3f19d0-578b-4341-9d74-8f6c8861bef5 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 39

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Observation 17e6f526-0e64-4423-a67d-228847da120a · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 40

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Observation e49018a8-f8f6-4a0b-a3e6-802584ebf487 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 41

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Observation 7e057c92-a2cc-4ec7-a641-f074606fbacf · outbound

This paper cites Verykios.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Verykios

Reference 42

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Observation fd273a1f-51c2-4459-9377-4f444afa6b2b · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 43

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Observation 514c2ac1-1f5b-4b49-bf04-88f9a4aa2b0d · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-16T04:28:00.356792Z digest=sha256:933379f3e3268113c8af486da2a3c0a17896b5428f1d3724fc0e4627e6ae0fcd

Observation b3d1e28b-f381-426e-a2ad-2d47ce7a099b · outbound

This paper cites Inverting Gradients -- How easy is it to break privacy in federated learning?.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Inverting Gradients -- How easy is it to break privacy in federated learning?

Reference 45

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Observation 629f41cc-0dce-4695-af2e-eced9fffafd2 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-16T04:28:00.366271Z digest=sha256:6b4ddd4a417a1c518476fbdbe26c3432f1d3f0f31387b2f9936ad1ea13b46a34

Observation 34d79391-b6cb-428c-a886-f9afe0625b1a · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Explaining and Harnessing Adversarial Examples

Reference 47

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source=pdf_text observed=2026-08-16T04:28:00.370870Z digest=sha256:b41784676dca8837740db6eb9f249026dc7c20c998c848983f4f93b8c78b98bf

Observation 1b9d4797-1706-46ee-a298-3740ac99d671 · outbound

This paper cites The Llama 3 Herd of Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures The Llama 3 Herd of Models

Reference 48

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Observation c5e35e49-6ab7-4851-901b-1fc03ca2e216 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 49

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source=pdf_text observed=2026-08-16T04:28:00.380695Z digest=sha256:34d596c880f0d95a4bcd60faf0ac04ccdd3bff3cbbeb539b4c2faa6ed225c08d

Observation 73df09df-8403-41ec-96a9-75f007cf4fce · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 50

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Observation 273b23f5-b8f1-4973-ae90-b6062e883401 · outbound

This paper cites Gradient-based Adversarial Attacks against Text Transformers.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Gradient-based Adversarial Attacks against Text Transformers

Reference 51

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source=pdf_text observed=2026-08-16T04:28:00.391884Z digest=sha256:7dafbee9bb64c039529a0091d2ebfe0134f28d0d563eb032e85ae87e64f103c5

Observation 45701e5b-2999-495f-8bd4-b63ca3cb64b9 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-16T04:28:00.397010Z digest=sha256:281dd61e73ac49b44d97720d18cfd6b27f084b02d6d1101ae44e59be91c08e27

Observation 33b350a6-1565-4547-a59a-602e923d28d2 · outbound

This paper cites Hampshire and A.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Hampshire and A

Reference 53

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verified exact
doi, observed 2026-08-16T04:28:01.206261Z

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source=pdf_text observed=2026-08-16T04:28:00.401085Z digest=sha256:73c97cdd94805b121f0bc9649bfd91e04b8f692cf8faeff43930e99acbd2ee95

Observation 5c8239b2-e34c-400d-a191-3321735ef69d · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-16T04:28:00.405014Z digest=sha256:91c52e42df1f450a29d666fe7cbfb047d42da9f29ec553d3689fdadf8a41b037

Observation 6a9fa906-72a5-4496-9e29-e18a2fa268d3 · outbound

This paper cites LOGAN: Membership Inference Attacks Against Generative Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures LOGAN: Membership Inference Attacks Against Generative Models

Reference 55

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source=pdf_text observed=2026-08-16T04:28:00.409341Z digest=sha256:df0b66a61b8e568e6a2cf53881845c3dbeab2d9ba9f86026d2f0a5bfd06b32b0

Observation a5c0b51d-fc4a-495a-b111-c3b2117f1b96 · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 56

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source=pdf_text observed=2026-08-16T04:28:00.414124Z digest=sha256:3325c34a83842ec15b179dc156bb509a8572476584dbcdc9c21544297d9f1416

Observation 017b357e-c236-43a0-a814-6d378f3f39cd · outbound

This paper cites Defending Against Indirect Prompt Injection Attacks With Spotlighting.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Defending Against Indirect Prompt Injection Attacks With Spotlighting

Reference 57

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source=pdf_text observed=2026-08-16T04:28:00.419258Z digest=sha256:da85d5b389f2f13424b6664f1cd472e9e4ab73975f3c707f9af75204c2c112a6

Observation 97410645-a019-4b0a-b5b4-5c3e773684f8 · outbound

This paper cites Yu, and Xuyun Zhang.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Yu, and Xuyun Zhang

Reference 58

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source=pdf_text observed=2026-08-16T04:28:00.424439Z digest=sha256:4abc9a05346d99d27eee83b20148fdaa4cf94a84be9bf1cb6ec06e46820d156a

Observation c7c25b1b-6436-48f4-ae76-aa4e71492343 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-16T04:28:00.429050Z digest=sha256:9110d8fbcf0c617040cf579d271725b82792cf414f1f3149f9b80e9ee5c750b1

Observation cc150712-adc7-41e0-be13-a62d0452e144 · outbound

This paper cites Composite Backdoor Attacks Against Large Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Composite Backdoor Attacks Against Large Language Models

Reference 60

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source=pdf_text observed=2026-08-16T04:28:00.434132Z digest=sha256:b16443bd0725f665f147f5b41cfc9867862e15e2776f3c005c87c1a04cf14c20

Observation 98d70cc7-ba17-49c1-936b-9f38f6a71a16 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-16T04:28:00.439087Z digest=sha256:c99965b678c94260539d92dcc17bceb533e93c42e1db4ba6552e08d9867d0701

Observation f49d8519-1b67-49e3-9d2f-3d20fc75f5b3 · outbound

This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 62

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source=pdf_text observed=2026-08-16T04:28:00.443991Z digest=sha256:7fa972ccef63144b8a32218990be18555c70c3a9aac3ecfac589841a0c55e1a4

Observation ed8a2a58-7e16-44ad-9787-241e1327e904 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 63

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source=pdf_text observed=2026-08-16T04:28:00.449005Z digest=sha256:17b0d2040a4b2ea2fb1d6c76100a9d73dfe2fd62e72008f6e9fc833c8eb45dc9

Observation ef3d99f7-a7a5-4a16-a4b8-6da2ff00a363 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-16T04:28:00.454891Z digest=sha256:9ab939a6b3c2e282acb0c28c10e5ddd377bea0a4900bd2db486b178264e56efc

Observation e55f2d73-8528-4f3b-a567-d89b3d998b66 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 65

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source=pdf_text observed=2026-08-16T04:28:00.458979Z digest=sha256:5e30a978c4601d8aaf919d0d9e7d3bd3f54d179a14aef83a67dfc4d1caa7214d

Observation d1aebde2-b189-4924-9857-3326397a7216 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-16T04:28:00.462970Z digest=sha256:582be9f654bd43fbef2b146b99fd8f2173653aa7c192a1b9893cf874f3052268

Observation 21a871dc-dc4b-47d1-937c-77ee642fe824 · outbound

This paper cites Jelinek, R.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Jelinek, R

Reference 67

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source=pdf_text observed=2026-08-16T04:28:00.466949Z digest=sha256:db04bb83ce903082693f7c68b02b763b59db5a06bf4f0856af18197bc504e947

Observation d3279e3b-4a98-45c0-b89b-51968294516c · outbound

This paper cites Joseph, Blaine Nelson, Benjamin I.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Joseph, Blaine Nelson, Benjamin I

Reference 68

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source=pdf_text observed=2026-08-16T04:28:00.471058Z digest=sha256:4285899a1386955af0af34ccd2ea0d70ac4d65908eeab92d4f503d75c27df170

Observation 61e7b50b-ef6b-4664-94c7-5510344f65a1 · outbound

This paper cites Deduplicating Training Data Mitigates Privacy Risks in Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Deduplicating Training Data Mitigates Privacy Risks in Language Models

Reference 69

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source=pdf_text observed=2026-08-16T04:28:00.475263Z digest=sha256:8890cf755e0750e3523122f3a1f405e5b6b5ed934efacb578b3ec6737149ddd9

Observation e16faecd-9b04-49c3-8b15-9ba6dc5a186e · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-16T04:28:00.479128Z digest=sha256:d0ea7d90517bca0493b4254ae6e9f82af1c4f182351b2868293457f5c8a6ae6d

Observation f2467bfd-f387-471c-b2b8-583302dc3f66 · outbound

This paper cites Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs

Reference 71

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source=pdf_text observed=2026-08-16T04:28:00.484328Z digest=sha256:3df4523df8d44e436d24f5f5943add1ce370b883b0bca9f4ac6f359d7556d57a

Observation d4a19bdf-d8ed-4658-bf48-25e42db2738d · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures On the Reliability of Watermarks for Large Language Models

Reference 72

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source=pdf_text observed=2026-08-16T04:28:00.489122Z digest=sha256:f8c0602b3210d4131641e2420da8811825e667a09f4e65223c065ac703f6d759

Observation f3f49611-9740-4f49-a4de-3a13d22dc6f1 · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Harnessing large-language models to generate private synthetic text

Reference 73

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source=pdf_text observed=2026-08-16T04:28:00.494345Z digest=sha256:a21acee19029efe0cdf9c3957effdcfe2a9e390e320fb67e509fd17ec061095a

Observation e898345b-ccc0-4fc5-9329-d71e9b21d0e4 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-16T04:28:00.500595Z digest=sha256:61a0d5f36b1176a3bc50f51c77a3112fba28d0335a02e1e8d71c3c2004c39c91

Observation 2812506c-2735-4fe8-9058-854733637545 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-16T04:28:00.506727Z digest=sha256:a3496a5f2cc2df82e6f1e4d64643ffd809ac99b484bfda7b582392c228fac9e1

Observation 9cc0d6a8-d4fc-44f8-98f6-194ebcbfb2c2 · outbound

This paper cites Privacy in Large Language Models: Attacks, Defenses and Future Directions.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 76

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no resolver link, observed 2026-08-16T04:28:00.511851Z

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source=pdf_text observed=2026-08-16T04:28:00.511851Z digest=sha256:3123c37df4a76b5f44d9afa6d7b72032857a4c1b0c80466a7f48299ff99ace0b

Observation d0b03a04-adf6-49df-8ca7-d335582c9687 · outbound

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

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 77

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source=pdf_text observed=2026-08-16T04:28:00.516819Z digest=sha256:a3044c750dc6f5c9f7c9b7af15b41156f7076d2969686446b7d0aee2baddf07c

Observation 9afa0e02-abe9-4836-a179-ae34b03c3f35 · outbound

This paper cites Hidden Backdoors in Human-Centric Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Hidden Backdoors in Human-Centric Language Models

Reference 78

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source=pdf_text observed=2026-08-16T04:28:00.521448Z digest=sha256:69f87a883265ddf95bb571dcab2d11f23d6b1132c889c07a79e5de799c77a02f

Observation a48bdda7-6b4e-4284-b853-07ccecf1d3ff · outbound

This paper cites Exploring Vulnerabilities and Protections in Large Language Models: A Survey.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Exploring Vulnerabilities and Protections in Large Language Models: A Survey

Reference 79

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Observation 07b8506f-a7fa-4dfa-a99b-c12b4354f47a · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 80

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source=pdf_text observed=2026-08-16T04:28:00.530223Z digest=sha256:549d2babe6f1c03c76c25d860cbf13ea72cc6be13e9a20ca1421d07bc0cd3984

Observation f6266f97-c6a6-4da9-8528-5cddf6d70892 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Prompt Injection attack against LLM-integrated Applications

Reference 81

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source=pdf_text observed=2026-08-16T04:28:00.534578Z digest=sha256:3f32b08c73ed769710432ae0176daf2aa845a0d6da9b64f6998a1d090205de7e

Observation ace8a67d-3c78-49a6-9588-42e58164f271 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-16T04:28:00.539069Z digest=sha256:c28b1f1fcdb7c7280e431f482d61dbda48b22e10b73efff9562a7c050549debc

Observation a5b4f79d-297d-4be9-8f58-7bb6ad30b45a · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-16T04:28:00.544449Z digest=sha256:c59641f29b4f76ea9b32a3ed983115ad3d5bbea194dbdd4b1f43a41565727f3c

Observation 4f973885-75e5-4503-940d-7c5e90584577 · outbound

This paper cites Threats, Attacks, and Defenses in Machine Unlearning: A Survey.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Threats, Attacks, and Defenses in Machine Unlearning: A Survey

Reference 84

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Observation 7c90cdbc-1a81-4880-b142-02dab229cb01 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-16T04:28:00.553584Z digest=sha256:8cee70f040ef84bde353659fd07d99b851664224b16427a372a72461e18bf7a8

Observation 59bc1b4d-4f7d-41f3-a1ba-5ea3004af33d · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 86

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Observation ce6f6170-9581-4c20-9927-a014e630a7e4 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-16T04:28:00.564695Z digest=sha256:c082d6ef5080520c832c5a602d05ea82f3d14fbd71bdca631d0f07602815de0a

Observation ab85ea49-3cd3-4c1a-b965-6106488c8dac · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-16T04:28:00.568959Z digest=sha256:ad23d487da03f0a408a56e55003f8e263685d5f39adcecd6bea272ae41c468b5

Observation 471852fb-8ea7-4819-9bfc-0ebbf48623e8 · outbound

This paper cites MagNet: a Two-Pronged Defense against Adversarial Examples.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures MagNet: a Two-Pronged Defense against Adversarial Examples

Reference 89

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source=pdf_text observed=2026-08-16T04:28:00.573224Z digest=sha256:b169aff8083ba889902ac295771865c60c75cd3bf035d6b932428cfb0f263cbc

Observation 2a6d2a9f-8181-42d0-a0c7-8265ebf1f107 · outbound

This paper cites Towards More Realistic Extraction Attacks: An Adversarial Perspective.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Towards More Realistic Extraction Attacks: An Adversarial Perspective

Reference 90

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source=pdf_text observed=2026-08-16T04:28:00.577837Z digest=sha256:3dd1b144ef3a00b693ea9d26f291bcd69c712af4edc0c906f5486bac8949a9bd

Observation 89a46c37-5859-4408-87b7-1ab10013fca4 · outbound

This paper cites Text Embeddings Reveal (Almost) As Much As Text.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Text Embeddings Reveal (Almost) As Much As Text

Reference 91

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source=pdf_text observed=2026-08-16T04:28:00.582528Z digest=sha256:1fd60debb647618b9f9857880a60bc08abf18ffbf1ad2eee85cc8edbe3ae75b4

Observation 3ec04e20-9cde-4bdc-8ded-d3a2b41329cd · outbound

This paper cites Language Model Inversion.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Language Model Inversion

Reference 92

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source=pdf_text observed=2026-08-16T04:28:00.587246Z digest=sha256:8ffbda7eac84594765ea84bb1f7967c8e642a6ef8784357612f93369f995891a

Observation 7d0e681f-31e8-4aed-8025-576574d327c1 · outbound

This paper cites Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 93

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Observation daf14a1d-f03d-4c98-b9bd-5fe477d3d708 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Scalable Extraction of Training Data from (Production) Language Models

Reference 94

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Observation 62d2423e-3cf8-4515-9adc-7ac25e7fbe85 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-16T04:28:00.599630Z digest=sha256:c1c11f924907aebef853c0ab629492d342cc833f5d282f458f1ba539c7137309

Observation 453aa005-f20a-4cec-905c-36deaaf4d5fb · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-16T04:28:00.607042Z digest=sha256:2d5d29edb9969ec63dc950fccf9f3662d17bbf7f4350d7c7a8f36ec129ae0626

Observation e0db6f41-b510-4468-af68-e845704f33a8 · outbound

This paper cites GPT-4o System Card.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures GPT-4o System Card

Reference 97

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source=pdf_text observed=2026-08-16T04:28:00.611368Z digest=sha256:af3741cbcfa092332a3961b9400fa8a70b214afdc2e5090bd70c960bccb4f273

Observation aa7e5741-4d4e-4230-bd04-6baec80b1ac6 · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Ignore Previous Prompt: Attack Techniques For Language Models

Reference 98

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source=pdf_text observed=2026-08-16T04:28:00.616258Z digest=sha256:0df17d921bc792803edc6fbeb3ef53c2aa7888e86ea3523f2a0136aaa4c66a33

Observation d7f3ab40-a1a0-4bdd-bf44-566744788301 · outbound

This paper cites LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

Reference 99

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source=pdf_text observed=2026-08-16T04:28:00.620842Z digest=sha256:131e38590c42ef78db7ccdd9582b0a6d9ad7197a80737a2a774b1ec07708a989

Observation a84bb492-5603-42eb-aca6-7bd123d5e403 · outbound

This paper cites an unresolved cited work.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Unresolved cited work

Reference 100

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Pith citing papers

Observation 75d8be74-36bd-45ba-9afb-f98696a5faa0 · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 2

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source=pdf_text observed=2026-08-06T22:23:07.048540Z digest=sha256:b700a39a8347d65179b0ba1bd390f8d3c6aec902bca7109eb70e4ae231667386

Observation 6de24761-811e-4779-aec4-847d1d603d2c · inbound

SoK: Semantic Privacy in Large Language Models cites this paper.

SoK: Semantic Privacy in Large Language Models LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 1

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source=pdf_text observed=2026-08-06T21:40:30.040139Z digest=sha256:cf0b5104e396a6b37866aa735160366c7ec1719dfa610c2538778ad18f2c65bc

Observation 0bd2c42c-69a4-428f-a2ac-b89ab447cdad · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 19

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source=pdf_text observed=2026-08-05T15:26:33.444330Z digest=sha256:e6e146afb76a99b61733cf85a338f3c6d4475d1a1394f509973f15fce192a373

Observation a6fd19d5-1fc2-43bc-a726-55fea165c5db · inbound

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence cites this paper.

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 2020

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source=pdf_text observed=2026-08-04T14:42:47.850304Z digest=sha256:4512af222efc999e9d3531775889c4bf535b4e1785e23fab4373a05571f474dc

Observation c583c8b7-4039-457f-81ed-190ecca05c63 · 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 LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 30

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verified exact
arxiv_id, observed 2026-05-12T07:21:25.116445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T03:27:56.191256Z digest=sha256:6145d9653f4cd572f9e8bdaa2e368cdee35a92058e5aca37ebeeb7cc762fcd0d