Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks | Paper Citation Record

Observation 798a21b2-7217-4fa7-b796-04582796ca4b · outbound

This paper cites GPT-4 Technical Report.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks GPT-4 Technical Report

Reference 1

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Observation 7e9400a6-d005-41c6-add6-9971e971b577 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Gemini: A Family of Highly Capable Multimodal Models

Reference 2

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Observation 197cda93-1f6e-451b-ba6b-589f4480435f · outbound

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

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks LLaMA: Open and Efficient Foundation Language Models

Reference 3

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Observation 1afd53bc-d838-4a72-8bd4-2cb3df258454 · outbound

This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Reference 4

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Observation 155f7a77-09a2-4a6b-b4de-b421612b25a3 · outbound

This paper cites Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study

Reference 5

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Observation d1e15201-e534-458f-aad3-c61eaa37143d · outbound

This paper cites {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:09.563310Z

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Observation bb0cadd4-0fc1-4fa6-ba87-396222896a5e · outbound

This paper cites Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models

Reference 7

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Observation ab6b3cef-02ed-44c9-aa4b-6c404eb1e212 · outbound

This paper cites Making them ask and answer: Jailbreaking large language models in few queries via disguise and reconstruction,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Making them ask and answer: Jailbreaking large language models in few queries via disguise and reconstruction,

Reference 8

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Observation 986c3a0b-3af2-4f0f-9beb-c9e6bdff0a39 · outbound

This paper cites Helping big language models protect themselves: An enhanced filtering and summarization system,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Helping big language models protect themselves: An enhanced filtering and summarization system,

Reference 9

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Observation 404c6bc3-e694-4d71-8157-9785c1c560ff · outbound

This paper cites X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:09.808925Z

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Observation 42419e43-111b-46b5-987d-646f2b11d314 · outbound

This paper cites Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:09.952167Z

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Observation 37abdc89-91e0-4d96-b872-5b08253372c3 · outbound

This paper cites Datasentinel: A game-theoretic detection of prompt injection attacks,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Datasentinel: A game-theoretic detection of prompt injection attacks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.059041Z

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Observation d9fddcb5-449b-45cc-b026-56190ae5a93b · outbound

This paper cites MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Reference 13

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Observation 61e51d5b-99a8-4d04-bdca-02bb060bf374 · outbound

This paper cites Fight back against jailbreaking via prompt adversarial tuning,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Fight back against jailbreaking via prompt adversarial tuning,

Reference 14

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Observation 6b501988-70d3-46de-a021-4fa32eacd20a · outbound

This paper cites Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Reference 15

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Observation 7a4e43e2-0e5d-4de7-bdcb-23599c9c7c44 · outbound

This paper cites Distributional preference learning: Understanding and accounting for hidden context in rlhf,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Distributional preference learning: Understanding and accounting for hidden context in rlhf,

Reference 16

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Observation c5232ba9-5422-459d-ba88-940486fce466 · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Attacking Large Language Models with Projected Gradient Descent

Reference 17

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Observation fa11cee1-adf0-4aaf-9489-059349dd9982 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 18

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Observation 0f7201d3-4551-4f8f-a646-d595f553792f · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.469528Z

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Observation a36c6875-97c0-47a9-8bd8-25e0b0f97ecd · outbound

This paper cites AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 20

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Observation a37eead2-fe61-4568-bb8d-e8cebb9cacac · outbound

This paper cites How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.686916Z

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Observation 15e36a56-ffb3-45ed-9880-b7a8ba38d7b5 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.758446Z

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Observation b286444e-f098-4bb3-affc-415bf51b6227 · outbound

This paper cites Honeytrap: Deceiving large language model attackers to honeypot traps with resilient multi-agent defense,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Honeytrap: Deceiving large language model attackers to honeypot traps with resilient multi-agent defense,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.811489Z

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Observation 75924873-2eeb-426e-8578-a3e07ec5c661 · outbound

This paper cites Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.875255Z

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Observation f2c38328-d87e-4d06-bd39-e9b7c027bb6d · outbound

This paper cites Tree of attacks: Jailbreaking black-box llms automatically,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Tree of attacks: Jailbreaking black-box llms automatically,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.989189Z

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Observation 698e5121-2960-4aa4-a4cb-2b58e6633457 · outbound

This paper cites PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:11.117001Z

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Observation 6b57bb15-a2bf-48a0-aead-4011b5f951a5 · outbound

This paper cites ” do anything now.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks ” do anything now

Reference 27

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Observation 1e0a7775-d09c-445a-b87c-59792a2412ed · outbound

This paper cites Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:11.264145Z

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Observation ed4c2d9f-cf68-4431-816e-f8271dc0c47a · outbound

This paper cites A Survey on Trustworthy LLM Agents: Threats and Countermeasures.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:11.444009Z

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Observation b701a1c7-75e3-470a-8697-8a2126d352c8 · outbound

This paper cites Masterkey: Automated jailbreaking of large language model chatbots,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Masterkey: Automated jailbreaking of large language model chatbots,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:11.540024Z

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Observation 9043d682-2db1-45fc-bc51-2d569acad0a4 · outbound

This paper cites Jailbreakzoo: Survey, landscapes, and horizons in jailbreaking large lan- guage and vision-language models,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Jailbreakzoo: Survey, landscapes, and horizons in jailbreaking large lan- guage and vision-language models,

Reference 31

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Observation 1292fb00-17c5-4c13-b6d4-8fd53a9db6bc · outbound

This paper cites Gpt- 4 is too smart to be safe: Stealthy chat with llms via cipher,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Gpt- 4 is too smart to be safe: Stealthy chat with llms via cipher,

Reference 32

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Observation e08f1a45-122a-409c-b3b1-99c7d60ad914 · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:11.894746Z

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Observation 43d83782-7851-4cf1-97a9-6032f993231a · outbound

This paper cites Boosting Jailbreak Transferability for Large Language Models.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Boosting Jailbreak Transferability for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.004751Z

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Observation be428ec5-f14b-4543-a2cc-a2b6aab04e02 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.144831Z

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Observation 9481f41b-60c7-4599-9b37-10358127434f · outbound

This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.245800Z

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Observation bec4a2cb-5209-4cbe-9ebe-e9c849fb47d7 · outbound

This paper cites Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.344757Z

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Observation 5b40f7fa-4ed7-4e8a-ad95-f43854b50ad1 · outbound

This paper cites Defending LLMs against Jailbreaking Attacks via Backtranslation.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Defending LLMs against Jailbreaking Attacks via Backtranslation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.515641Z

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Observation d520fa31-9bdf-4ace-9186-f1ddc6454d72 · outbound

This paper cites Jailbroken: How does llm safety training fail?.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Jailbroken: How does llm safety training fail?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.672284Z

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Observation 5aa005cc-1aac-45f5-b27f-407bd964ef24 · outbound

This paper cites Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Reference 40

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Observation 7a38e1ad-70e8-40d5-be3d-d16c2fb0d05d · outbound

This paper cites Attack prompt generation for red teaming and defending large language mod- els,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Attack prompt generation for red teaming and defending large language mod- els,

Reference 41

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Observation 48601139-73e1-473a-ad66-da94405e14d2 · outbound

This paper cites From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.873272Z

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Observation fc595a05-2b83-4101-a1c1-46c4445fa5de · outbound

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

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:12.949365Z

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Observation 771bd9f5-e888-44a8-a10d-77ae5df37a46 · outbound

This paper cites Certifying LLM Safety against Adversarial Prompting.

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

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.014747Z

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Observation 81cb2df2-f37f-457d-a8d0-16e043624665 · outbound

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

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.134915Z

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Observation ba8886ca-b654-4e61-8022-fc96553d7efc · outbound

This paper cites Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.252157Z

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Observation 9744ff32-f663-4470-a466-7f4a778c6c67 · outbound

This paper cites Defending chatgpt against jailbreak attack via self-reminders,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Defending chatgpt against jailbreak attack via self-reminders,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.364750Z

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Observation b0ef8a60-ca68-4930-a283-77ed33a62d93 · outbound

This paper cites Steering dialogue dynamics for robustness against multi-turn jailbreaking attacks,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Steering dialogue dynamics for robustness against multi-turn jailbreaking attacks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.535734Z

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Observation 9921ae4a-ca99-4243-9263-0365000a2123 · outbound

This paper cites X-boundary: Establishing exact safety boundary to shield llms from multi-turn jailbreaks without compromising usability,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks X-boundary: Establishing exact safety boundary to shield llms from multi-turn jailbreaks without compromising usability,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.651328Z

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Observation b15ac3db-aece-42e1-aa4a-759eb576099d · outbound

This paper cites RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.794829Z

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Observation 1e43c751-4a75-44ae-8c4a-12950bd73985 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Generative agents: Interactive simulacra of human behavior,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.872894Z

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Observation 6bb1203a-fa28-45f2-88ae-bd7312b242a7 · outbound

This paper cites Training Socially Aligned Language Models on Simulated Social Interactions.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Training Socially Aligned Language Models on Simulated Social Interactions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.946073Z

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Observation ac613f5c-476e-4f49-936a-dd1cf9cfb4f0 · outbound

This paper cites Camel: Communicative agents for.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Camel: Communicative agents for

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.022585Z

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Observation 8a872541-14d7-4d58-8867-cd96d55ade56 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.080163Z

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Observation d3c7f28f-25fa-4bd5-9330-81387c2e42df · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Metagpt: Meta programming for a multi-agent collaborative framework,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.172690Z

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Observation 66ee22d6-3d85-4913-9552-7bfac0e5507c · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks ChatDev: Communicative Agents for Software Development

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.275406Z

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Observation 8892c0c9-d9e9-4521-b8d7-f7b5f9749de4 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.424749Z

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Observation c713df20-a4d7-48cd-9945-5ffdffa5331d · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.553943Z

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Observation ccbcfc1e-1960-4ffa-af48-ee77962be44e · outbound

This paper cites Defending large language models against jailbreaking attacks through goal priori- tization,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Defending large language models against jailbreaking attacks through goal priori- tization,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.624835Z

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Observation 3de10f62-1386-4ca4-9a38-e8c914f54690 · outbound

This paper cites Robust prompt optimization for defend- ing language models against jailbreaking attacks,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Robust prompt optimization for defend- ing language models against jailbreaking attacks,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.814826Z

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Observation e49c6208-7c87-4509-8609-7c19ad7b1c60 · outbound

This paper cites SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:14.920942Z

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Observation ad2bd6db-372d-4528-bcb9-99a440857d4b · outbound

This paper cites Fine-tuning aligned language models compromises safety, even when users do not intend to!.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Fine-tuning aligned language models compromises safety, even when users do not intend to!

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:15.024609Z

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Observation cfe5471f-fd88-46ed-a81b-d8486bf54dc1 · outbound

This paper cites Jailbreaking black box large language models in twenty queries,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Jailbreaking black box large language models in twenty queries,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:15.148273Z

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Observation d2829aa8-a185-4f8d-bd83-8e7ce496b17e · outbound

This paper cites M2s: Multi-turn to single-turn jailbreak in red teaming for llms,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks M2s: Multi-turn to single-turn jailbreak in red teaming for llms,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:15.272601Z

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Observation 0a22fc85-a5fe-456f-b43a-4d89dc2add11 · outbound

This paper cites MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:15.396819Z

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Observation 1702fe08-30d1-48ab-94b9-b7ac696391da · outbound

This paper cites Cosafe: Evaluating large language model safety in multi-turn dialogue coreference,.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Cosafe: Evaluating large language model safety in multi-turn dialogue coreference,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:15.489997Z

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