Certifying LLM Safety against Adversarial Prompting | Paper Citation Record

Observation 631bfaad-3fa2-4fae-ac76-5779a5c67dd1 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Certifying LLM Safety against Adversarial Prompting

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:11:00.805894Z

Source-reported events for the cited work

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

Observation 16e16c7d-57e5-4dd9-933b-72ca8b2c757f · inbound

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:08:05.632731Z

Source-reported events for the cited work

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

Observation ed3bd17f-e334-4801-aab6-521ee2ee6ffa · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Certifying LLM Safety against Adversarial Prompting

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.701189Z

Source-reported events for the cited work

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

Observation 30c23f4e-9525-4707-a82a-3fed24844c62 · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Certifying LLM Safety against Adversarial Prompting

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:25.977185Z

Source-reported events for the cited work

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

Observation 067b97c0-090d-4a19-94ae-c5e60c6c44d9 · inbound

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? cites this paper.

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Certifying LLM Safety against Adversarial Prompting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:27.545838Z

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Observation b9687f5e-8ce3-42c1-9d87-e8cecd757124 · inbound

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation cites this paper.

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation Certifying LLM Safety against Adversarial Prompting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:06.202073Z

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Observation 63f34c02-d67b-46db-a2b7-3cc9c6b7e774 · inbound

Large Language Model Safety: A Holistic Survey cites this paper.

Large Language Model Safety: A Holistic Survey Certifying LLM Safety against Adversarial Prompting

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-11T05:19:34.409300Z

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Observation 1c8e2bfd-f142-4877-9547-c03c44f799ff · inbound

Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models cites this paper.

Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models Certifying LLM Safety against Adversarial Prompting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:26.657326Z

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Observation b1d2ffc2-ae93-4667-bcc7-2d7e1f5abd91 · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Certifying LLM Safety against Adversarial Prompting

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:18.863343Z

Source-reported events for the cited work

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Observation 8dccb1ad-7a00-4758-8163-e94637e9e88d · inbound

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense cites this paper.

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense Certifying LLM Safety against Adversarial Prompting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:00.047226Z

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Observation ba88c8c3-1e8b-4b93-8a26-bc931f53e8bf · inbound

Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints cites this paper.

Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints Certifying LLM Safety against Adversarial Prompting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:36.508096Z

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Observation edc496c7-288c-4817-adef-d181b7edf0c2 · inbound

Smoothed Embeddings for Robust Language Models cites this paper.

Smoothed Embeddings for Robust Language Models Certifying LLM Safety against Adversarial Prompting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:40.928821Z

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Observation da3d688a-2342-46c6-ab35-c42f30f790ec · inbound

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models cites this paper.

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models Certifying LLM Safety against Adversarial Prompting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T00:12:04.836347Z

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Observation 5a7368f9-3cd2-407b-a5fb-7a0e6b7d2f2e · inbound

Training Users Against Human and GPT-4 Generated Social Engineering Attacks cites this paper.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.773175Z

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Observation 9828062f-5849-40d1-9b97-d663117bbc92 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Certifying LLM Safety against Adversarial Prompting

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.899921Z

Source-reported events for the cited work

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

Observation 38238e41-52d7-45dd-abf9-04724b17db53 · inbound

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences Certifying LLM Safety against Adversarial Prompting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T10:23:06.144068Z

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Observation 42fa7f62-9199-4a79-b8a9-dcac1e75db20 · inbound

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning cites this paper.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T16:16:48.271400Z

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Observation fddb39bc-b53c-44c9-9040-4e0465eff828 · inbound

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression cites this paper.

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression Certifying LLM Safety against Adversarial Prompting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:05:54.141304Z

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Observation 5a7e5b90-202f-4a04-ab93-b32cd90ddba8 · inbound

Security of Internet of Agents: Attacks and Countermeasures cites this paper.

Security of Internet of Agents: Attacks and Countermeasures Certifying LLM Safety against Adversarial Prompting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:17.933498Z

Source-reported events for the cited work

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Observation 7d8eba85-300b-4352-9b4e-9cf80184c1d6 · inbound

Adversarial Suffix Filtering: a Defense Pipeline for LLMs cites this paper.

Adversarial Suffix Filtering: a Defense Pipeline for LLMs Certifying LLM Safety against Adversarial Prompting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:35.011638Z

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Observation f750fb9a-4f20-4a8f-b8de-afa25a802156 · inbound

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks cites this paper.

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks Certifying LLM Safety against Adversarial Prompting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:09.836301Z

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Observation dffa9100-9c3a-4ca8-84fa-6049a977eb8f · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry Certifying LLM Safety against Adversarial Prompting

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.893296Z

Source-reported events for the cited work

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

Observation f3a082e9-bc92-40ec-abb7-0c054b0d020d · inbound

Superplatforms Have to Attack AI Agents cites this paper.

Superplatforms Have to Attack AI Agents Certifying LLM Safety against Adversarial Prompting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:37.234824Z

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Observation d3eb8416-463e-4425-b4f4-9836979c048e · inbound

Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models cites this paper.

Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models Certifying LLM Safety against Adversarial Prompting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:21.099918Z

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Observation 05916946-9f08-4808-8aed-d87770cbb58d · inbound

Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap cites this paper.

Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap Certifying LLM Safety against Adversarial Prompting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:21.159164Z

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Observation 96294aca-ada6-4830-a85d-48d6c525f494 · inbound

Safe and Performant Deployment of Autonomous Systems via Model Predictive Control and Hamilton-Jacobi Reachability Analysis cites this paper.

Safe and Performant Deployment of Autonomous Systems via Model Predictive Control and Hamilton-Jacobi Reachability Analysis Certifying LLM Safety against Adversarial Prompting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:27.924372Z

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Observation 0ee86101-436a-4575-adaa-a245aed87060 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Certifying LLM Safety against Adversarial Prompting

Reference 187

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:30.518383Z

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Observation 15f793b9-b949-4dce-9e30-e3e82aa31e24 · inbound

Strategic Deflection: Defending LLMs from Logit Manipulation cites this paper.

Strategic Deflection: Defending LLMs from Logit Manipulation Certifying LLM Safety against Adversarial Prompting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:05:44.541606Z

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Observation df7a80e7-73ef-4c35-b707-6f4833e9d6b6 · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Certifying LLM Safety against Adversarial Prompting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T23:12:59.802317Z

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Observation c02eec3d-2f04-4f2e-9a7c-0af33298520a · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection Certifying LLM Safety against Adversarial Prompting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T22:24:23.403420Z

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Observation b89c6b03-55ef-4ed4-9aa2-6f69f0c2266d · inbound

CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection cites this paper.

CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection Certifying LLM Safety against Adversarial Prompting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:18:24.068355Z

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Observation 72fec629-b593-4885-80d1-c63beb3e8e61 · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain Certifying LLM Safety against Adversarial Prompting

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T10:44:10.487753Z

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Observation 1eebe795-ea34-4255-a580-d7a0b4b0d66b · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Certifying LLM Safety against Adversarial Prompting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:09:41.473339Z

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Observation 758bf927-a815-4e7b-a2c5-a5e6843da869 · inbound

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents cites this paper.

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents Certifying LLM Safety against Adversarial Prompting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:44:12.318888Z

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Observation 039e0742-22f3-4a98-9c64-534d84230ae3 · inbound

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models cites this paper.

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models Certifying LLM Safety against Adversarial Prompting

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:31:11.646688Z

Source-reported events for the cited work

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

Observation 510fa07b-1d80-43a3-9c68-e3914854dc9c · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Certifying LLM Safety against Adversarial Prompting

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:45.397309Z

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Observation 7068a9da-7e48-4fb7-af66-9367cc3fce90 · inbound

BEAVER: An Efficient Deterministic LLM Verifier cites this paper.

BEAVER: An Efficient Deterministic LLM Verifier Certifying LLM Safety against Adversarial Prompting

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:58:51.336475Z

Source-reported events for the cited work

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

Observation 742d023c-c22e-41d8-9422-6fb186a319dc · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents Certifying LLM Safety against Adversarial Prompting

Reference 23

Resolution: verified exact; orphan_title_repair, observed 2026-05-13T17:16:32.546647Z

Source-reported events for the cited work

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

Observation 67eb77b1-719c-4bfc-958c-616813410f69 · inbound

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying cites this paper.

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying Certifying LLM Safety against Adversarial Prompting

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:45:57.667592Z

Source-reported events for the cited work

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

Observation f77ade4b-66b0-431f-b006-0d2153c9f251 · inbound

Towards Understanding the Robustness of Sparse Autoencoders cites this paper.

Towards Understanding the Robustness of Sparse Autoencoders Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:46:10.241956Z

Source-reported events for the cited work

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

Observation f4f54fa7-3020-4fb1-9dbb-b50c0d9f1373 · inbound

Ethics Testing: Proactive Identification of Generative AI System Harms cites this paper.

Ethics Testing: Proactive Identification of Generative AI System Harms Certifying LLM Safety against Adversarial Prompting

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:08.057350Z

Source-reported events for the cited work

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

Observation 8e02b80d-2e64-4ee1-a04f-f5a2a82b6032 · inbound

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing cites this paper.

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Certifying LLM Safety against Adversarial Prompting

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:25.686124Z

Source-reported events for the cited work

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

Observation a1572414-af7d-48a5-8cd2-ba636ab52bfa · inbound

Green Shielding: A User-Centric Approach Towards Trustworthy AI cites this paper.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Certifying LLM Safety against Adversarial Prompting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.340402Z

Source-reported events for the cited work

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

Observation a48b12bb-7580-43b9-b7f4-649c91f08507 · inbound

Attention Is Where You Attack cites this paper.

Attention Is Where You Attack Certifying LLM Safety against Adversarial Prompting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:05.235919Z

Source-reported events for the cited work

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

Observation 476d33b0-1915-4757-8903-a0c31063cdda · inbound

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Certifying LLM Safety against Adversarial Prompting

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:07.800202Z

Source-reported events for the cited work

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

Observation 4508b4c4-07f6-454d-b379-b70604ee8b4d · inbound

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Certifying LLM Safety against Adversarial Prompting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T14:49:14.882245Z

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Observation ed216ea4-a6eb-4ff1-8647-fc9c1db40474 · inbound

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability cites this paper.

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability Certifying LLM Safety against Adversarial Prompting

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:41:21.790576Z

Source-reported events for the cited work

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

Observation 64ca20fe-1ed2-4694-9d5e-249a255c72dc · inbound

Re-Triggering Safeguards within LLMs for Jailbreak Detection cites this paper.

Re-Triggering Safeguards within LLMs for Jailbreak Detection Certifying LLM Safety against Adversarial Prompting

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:06:25.074198Z

Source-reported events for the cited work

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

Observation 13365dc7-0a85-4bc8-9853-39a7b5d1634b · inbound

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models cites this paper.

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models Certifying LLM Safety against Adversarial Prompting

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:38:05.831828Z

Source-reported events for the cited work

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

Observation 57000007-7040-4aba-8176-8cb457f56708 · inbound

Adversarial Reframing: A Framework for Targeted Generation in Language Models cites this paper.

Adversarial Reframing: A Framework for Targeted Generation in Language Models Certifying LLM Safety against Adversarial Prompting

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T09:36:21.028156Z

Source-reported events for the cited work

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

Observation bc19f71c-d222-44f1-8b1b-e02761f36024 · inbound

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents cites this paper.

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents Certifying LLM Safety against Adversarial Prompting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:16:36.016810Z

Source-reported events for the cited work

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

Observation feb1401b-66ba-44d2-8ea8-a30a62a14e04 · inbound

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks cites this paper.

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks Certifying LLM Safety against Adversarial Prompting

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:26:59.323331Z

Source-reported events for the cited work

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

Observation 7fcce9d9-0859-4eb1-94ae-65d4e74112df · inbound

Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions cites this paper.

Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions Certifying LLM Safety against Adversarial Prompting

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-09T10:26:11.133047Z

Source-reported events for the cited work

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

Observation 6ca8f49f-5d36-498f-aaf9-9beb9e4c8a40 · inbound

MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents cites this paper.

MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents Certifying LLM Safety against Adversarial Prompting

Reference 25

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Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Certifying LLM Safety against Adversarial Prompting

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