DeepInception: Hypnotize Large Language Model to Be Jailbreaker
On the map: LLM safety and security → Jailbreaking
Abstract (arXiv)
Large language models (LLMs) have succeeded significantly in various applications but remain susceptible to adversarial jailbreaks that void their safety guardrails. Previous attempts to exploit these vulnerabilities often rely on high-cost computational extrapolations, which may not be practical or efficient. In this paper, inspired by the authority influence demonstrated in the Milgram experiment, we present a lightweight method to take advantage of the LLMs' personification capabilities to construct textita virtual, nested scene, allowing it to realize an adaptive way to escape the usage control in a normal scenario. Empirically, the contents induced by our approach can achieve leading harmfulness rates with previous counterparts and realize a continuous jailbreak in subsequent interactions, which reveals the critical weakness of self-losing on both open-source and closed-source LLMs, textite.g., Llama-2, Llama-3, GPT-3.5, GPT-4, and GPT-4o. The code and data are available at: https://github.com/tmlr-group/DeepInception.
Key facts. Cited by 337 papers in the map (data through 7 Oct 2026). Placed in Jailbreaking, one of 12 directions in LLM safety and security. Builds on 18 of its 26 references that are in the map. First posted on arXiv 6 Nov 2023.
Builds on
18 of 26 references.
Closest ancestors · 5
Same direction, newest first
- 2023Jailbreaking Black Box Large Language Models in Twenty Queries12 Oct
- 2023Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations10 Oct
- 2023AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models3 Oct
- 2023Universal and Transferable Adversarial Attacks on Aligned Language Models27 Jul
- 2023Jailbroken: How Does LLM Safety Training Fail?5 Jul
Other references · 13
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2020Scaling Laws for Neural Language Modelscited by 6,411
- 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
- 2022Training Compute-Optimal Large Language Modelscited by 2,927
- 2023A Survey of Large Language Modelscited by 2,537
- 2022Emergent Abilities of Large Language Modelscited by 2,483
- 2019Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelismcited by 1,829
- 2022CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesiscited by 876
- 2023The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Onlycited by 755
Built on by
Citing papers per year: 2023: 3; 2024: 99; 2025: 139; 2026: 96.
337 papers.
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- 2024A StrongREJECT for Empty Jailbreakscited by 352
- 2024SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decodingcited by 233
- 2024Jailbreak Attacks and Defenses Against Large Language Models: A Surveycited by 215
- 2024ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMscited by 197
- 2024Security and Privacy Challenges of Large Language Models: A Surveycited by 179
- 2024COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllabilitycited by 162
- 2024Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMscited by 158
- 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fastcited by 149
- 2024AutoDefense: Multi-Agent LLM Defense against Jailbreak Attackscited by 135
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Surveycited by 124
- 2024Jailbreak Vision Language Models via Bi-Modal Adversarial Promptcited by 103
- 2024Weak-to-Strong Jailbreaking on Large Language Modelscited by 100
38 more
- 2024Improved Techniques for Optimization-Based Jailbreaking on Large Language Modelscited by 98
- 2024A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Modelscited by 95
- 2025H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinkingcited by 94
- 2024How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden Statescited by 92
- 2024DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakerscited by 91
- 2024Red-Teaming for Generative AI: Silver Bullet or Security Theater?cited by 81
- 2024Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editingcited by 77
- 2024Safeguarding Large Language Models: A Surveycited by 73
- 2024FlipAttack: Jailbreak LLMs via Flippingcited by 73
- 2024Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defensescited by 68
- 2024JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Modelscited by 67
- 2024Intention Analysis Makes LLMs A Good Jailbreak Defendercited by 64
- 2024Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialoguecited by 64
- 2024Uncovering Safety Risks of Large Language Models through Concept Activation Vectorcited by 63
- 2025Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Modelscited by 61
- 2025Safety in Large Reasoning Models: A Surveycited by 58
- 2024Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Cluescited by 57
- 2024EasyJailbreak: A Unified Framework for Jailbreaking Large Language Modelscited by 57
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasurescited by 54
- 2024Jailbreak Large Vision-Language Models Through Multi-Modal Linkagecited by 53
- 2025Foot-In-The-Door: A Multi-turn Jailbreak for LLMscited by 50
- 2023Bypassing the Safety Training of Open-Source LLMs with Priming Attackscited by 48
- 2024Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspectivecited by 44
- 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Modelscited by 44
- 2024Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Modelscited by 42
- 2024Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Ratescited by 42
- 2024Distract Large Language Models for Automatic Jailbreak Attackcited by 40
- 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?cited by 40
- 2024Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Promptscited by 39
- 2024RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agentcited by 39
- 2025A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaoscited by 39
- 2025Exploring Criteria of Loss Reweighting to Enhance LLM Unlearningcited by 39
- 2024Boosting Jailbreak Attack with Momentumcited by 38
- 2024A Cross-Language Investigation into Jailbreak Attacks in Large Language Modelscited by 37
- 2025AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defendercited by 37
- 2024Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!cited by 36
- 2025AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Managementcited by 35
- 2024Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMscited by 33
50 most cited of 337 All 337 (JSON)
- 2026How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense7 Oct 2026
- 2026From Expected Harmfulness to Likelihood: A Probabilistic Reformulation of Jailbreaking LLM Agents7 Oct 2026
- 2026MOMAT: Mixture of Multiple Atlases for Low-Power Jailbreak Defense of Quantized LLMs1 Oct 2026
- 2026GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation18 Sep 2026
- 2026Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges12 Sep 2026
- 2026An Empirical Measurement of Jailbreaking Evaluators7 Sep 2026
- 2026SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure6 Sep 2026
- 2026Representational alignment yields generalizable safety in language models3 Sep 2026
- 2026AlcaTRAz - Anchored Tree-Rule Defense Against Jailbreaks3 Sep 2026
- 2026ASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models2 Sep 2026
- 2026Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges1 Sep 2026
- 2026The Fragility of Jailbreak Robustness Across Operational States31 Aug 2026
38 more
- 2026The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal31 Aug 2026
- 2026SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models29 Aug 2026
- 2026A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks26 Aug 2026
- 2026Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call Budgets18 Aug 2026
- 2026Yesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production9 Aug 2026
- 2026Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks31 Jul 2026
- 2026Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards27 Jul 2026
- 2026Do LLMs Know Their Vulnerable Scenarios?26 Jul 2026
- 2026When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems7 Jul 2026
- 2026Overloading Large Vision-Language Models for Jailbreaking3 Jul 2026
- 2026Assessing Rule Adherence of LLM Adjudicators in Call of Cthulhu TRPG2 Jul 2026
- 2026HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment1 Jul 2026
- 2026Closing the Activation-Cone Blind Spot: Response-Time Probing and Unified Defense28 Jun 2026
- 2026Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification27 Jun 2026
- 2026SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling18 Jun 2026
- 2026Automated jailbreak attack targeting multiple defense strategies15 Jun 2026
- 2026DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing15 Jun 2026
- 2026SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents6 Jun 2026
- 2026DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination6 Jun 2026
- 2026The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning6 Jun 2026
- 2026SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched Speech4 Jun 2026
- 2026Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack4 Jun 2026
- 2026SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks4 Jun 2026
- 2026CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning4 Jun 2026
- 2026Voices Across Registers: Corpus-Conditioned Vernacular Jailbreaks against Aligned LLMs via Fanfiction Subgenres3 Jun 2026
- 2026Decomposing Refusal Steering in Mixture-of-Experts Models2 Jun 2026
- 2026Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models29 May 2026
- 2026TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking29 May 2026
- 2026Beyond Attack Success Rate: Temporal Logit Observability for LLM Safety Failures28 May 2026
- 2026Incomplete Prompt Jailbreaks in Large Language Models24 May 2026
- 2026Fence: Specialized SLM Guardrails for LLM Applications22 May 2026
- 2026LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models20 May 2026
- 2026REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak20 May 2026
- 2026Exploring and Developing a Pre-Model Safeguard with Draft Models19 May 2026
- 2026Multilingual jailbreaking of LLMs using low-resource languages18 May 2026
- 2026Talk is (Not) Cheap: A Taxonomy and Benchmark Coverage Audit for LLM Attacks14 May 2026
- 2026Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution13 May 2026
- 2026A Systematic Investigation of RL-Jailbreaking in LLMs7 May 2026
50 newest of 337 All 337 (JSON)
- 2024A StrongREJECT for Empty Jailbreakscited by 352
- 2024SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decodingcited by 233
- 2024Jailbreak Attacks and Defenses Against Large Language Models: A Surveycited by 215
- 2024ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMscited by 197
- 2024Security and Privacy Challenges of Large Language Models: A Surveycited by 179
- 2024COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllabilitycited by 162
- 2024Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMscited by 158
- 2024Weak-to-Strong Jailbreaking on Large Language Modelscited by 100
- 2024Improved Techniques for Optimization-Based Jailbreaking on Large Language Modelscited by 98
- 2024A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Modelscited by 95
- 2024Red-Teaming for Generative AI: Silver Bullet or Security Theater?cited by 81
- 2024Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editingcited by 77
12 most cited of 157 All 157 (JSON)
- 2026MOMAT: Mixture of Multiple Atlases for Low-Power Jailbreak Defense of Quantized LLMs1 Oct 2026
- 2026An Empirical Measurement of Jailbreaking Evaluators7 Sep 2026
- 2026SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure6 Sep 2026
- 2026The Fragility of Jailbreak Robustness Across Operational States31 Aug 2026
- 2026The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal31 Aug 2026
- 2026Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call Budgets18 Aug 2026
- 2026Automated jailbreak attack targeting multiple defense strategies15 Jun 2026
- 2026DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing15 Jun 2026
- 2026Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack4 Jun 2026
- 2026SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks4 Jun 2026
- 2026Voices Across Registers: Corpus-Conditioned Vernacular Jailbreaks against Aligned LLMs via Fanfiction Subgenres3 Jun 2026
- 2026Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models29 May 2026
12 newest of 157 All 157 (JSON)
- 2024How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden Statescited by 92
- 2024DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakerscited by 91
- 2024Intention Analysis Makes LLMs A Good Jailbreak Defendercited by 64
- 2024Uncovering Safety Risks of Large Language Models through Concept Activation Vectorcited by 63
- 2025AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defendercited by 37
- 2024Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!cited by 36
- 2025Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Modelscited by 33
- 2024ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templatescited by 29
- 2024Mission Impossible: A Statistical Perspective on Jailbreaking LLMscited by 21
- 2025NeuroStrike: Neuron-Level Attacks on Aligned LLMscited by 18
- 2025One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMscited by 12
- 2024SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkagecited by 10
12 most cited of 49 All 49 (JSON)
- 2026How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense7 Oct 2026
- 2026Representational alignment yields generalizable safety in language models3 Sep 2026
- 2026AlcaTRAz - Anchored Tree-Rule Defense Against Jailbreaks3 Sep 2026
- 2026ASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models2 Sep 2026
- 2026Do LLMs Know Their Vulnerable Scenarios?26 Jul 2026
- 2026HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment1 Jul 2026
- 2026Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification27 Jun 2026
- 2026SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched Speech4 Jun 2026
- 2026CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning4 Jun 2026
- 2026Decomposing Refusal Steering in Mixture-of-Experts Models2 Jun 2026
- 2026LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models20 May 2026
- 2026REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak20 May 2026
12 newest of 49 All 49 (JSON)
- 2025H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinkingcited by 94
- 2025Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Modelscited by 61
- 2025Safety in Large Reasoning Models: A Surveycited by 58
- 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?cited by 40
- 2025A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaoscited by 39
- 2025Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Modelscited by 25
- 2025From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibriumcited by 24
- 2025Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Modelscited by 23
- 2025From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?cited by 21
- 2024Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Modelscited by 15
- 2025Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignmentcited by 14
- 2025Chain-of-Thought Hijackingcited by 13
12 most cited of 35 All 35 (JSON)
- 2026GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation18 Sep 2026
- 2026SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents6 Jun 2026
- 2026The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning6 Jun 2026
- 2026Conflicts Make Large Reasoning Models Vulnerable to Attacks10 Apr 2026
- 2026Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning6 Mar 2026
- 2026From Shallow to Deep: Pinning Semantic Intent via Causal GRPO3 Mar 2026
- 2026SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment23 Jan 2026
- 2026How Does the Thinking Step Influence Model Safety? An Entropy-based Safety Reminder for LRMs7 Jan 2026
- 2026STAR-S: Improving Safety Alignment through Self-Taught Reasoning on Safety Rules7 Jan 2026
- 2025Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring12 Dec 2025
- 2025Chain-of-Thought Hijacking30 Oct 2025
- 2025Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models4 Oct 2025
12 newest of 35 All 35 (JSON)
- 2024AutoDefense: Multi-Agent LLM Defense against Jailbreak Attackscited by 135
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasurescited by 54
- 2024RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agentcited by 39
- 2025AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Managementcited by 35
- 2024Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMscited by 33
- 2025LLM Agents Should Employ Security Principlescited by 28
- 2025We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systemscited by 27
- 2025SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agentscited by 17
- 2025SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agentscited by 14
- 2024LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakagecited by 13
- 2025From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystemcited by 11
- 2025TAI3: Testing Agent Integrity in Interpreting User Intentcited by 7
12 most cited of 28 All 28 (JSON)
- 2026From Expected Harmfulness to Likelihood: A Probabilistic Reformulation of Jailbreaking LLM Agents7 Oct 2026
- 2026Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges12 Sep 2026
- 2026A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks26 Aug 2026
- 2026Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks31 Jul 2026
- 2026When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems7 Jul 2026
- 2026DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination6 Jun 2026
- 2026TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking29 May 2026
- 2026CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks5 Apr 2026
- 2026From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents8 Mar 2026
- 2026HoneyTrap: Deceiving Large Language Model Attackers to Honeypot Traps with Resilient Multi-Agent Defense7 Jan 2026
- 2025DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agents5 Nov 2025
- 2025SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents11 Oct 2025
12 newest of 28 All 28 (JSON)
- 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fastcited by 149
- 2024Jailbreak Vision Language Models via Bi-Modal Adversarial Promptcited by 103
- 2024JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Modelscited by 67
- 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Modelscited by 44
- 2024Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Promptscited by 39
- 2025AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructionscited by 33
- 2024Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Modelscited by 31
- 2025SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearningcited by 31
- 2024BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attackscited by 28
- 2024Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language Modelscited by 24
- 2026OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMscited by 18
- 2025Noisy Test-Time Adaptation in Vision-Language Modelscited by 8
12 most cited of 24 All 24 (JSON)
- 2026Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards27 Jul 2026
- 2026Overloading Large Vision-Language Models for Jailbreaking3 Jul 2026
- 2026MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models3 Mar 2026
- 2026MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs28 Feb 2026
- 2026Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs22 Jan 2026
- 2026OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs4 Jan 2026
- 2025VisualDAN: Exposing Vulnerabilities in VLMs with Visual-Driven DAN Commands9 Oct 2025
- 2025Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models18 Jul 2025
- 2025AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions17 Jun 2025
- 2025Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts26 May 2025
- 2025PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization2 Apr 2025
- 2025Probabilistic Modeling of Jailbreak on Multimodal LLMs: From Quantification to Application10 Mar 2025
12 newest of 24 All 24 (JSON)
- 2025The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMscited by 32
- 2025Speculative Safety-Aware Decodingcited by 7
- 2024Defending against Jailbreak through Early Exit Generation of Large Language Modelscited by 1
- 2026SafeSpec: Fast and Safe LLM via Dynamic Reflective Samplingcited by 0
- 2026SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling18 Jun 2026
- 2025Speculative Safety-Aware Decoding25 Aug 2025
- 2025The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs15 Jul 2025
- 2024Defending against Jailbreak through Early Exit Generation of Large Language Models21 Aug 2024
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Surveycited by 124
- 2024Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Modelscited by 42
- 2024Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Ratescited by 42
- 2025Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attackscited by 32
- 2024S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Modelscited by 28
- 2023Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMscited by 26
- 2024Locking Down the Finetuned LLMs Safetycited by 22
- 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancycited by 20
- 2024FedImpro: Measuring and Improving Client Update in Federated Learningcited by 15
- 2025Attack and defense techniques in large language models: A survey and new perspectivescited by 13
- 2024Adversarial Representation Engineering: A General Model Editing Framework for Large Language Modelscited by 12
- 2024A Chinese Dataset for Evaluating the Safeguards in Large Language Modelscited by 11
12 most cited of 37 All 37 (JSON)
- 2026Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges1 Sep 2026
- 2026SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models29 Aug 2026
- 2026Assessing Rule Adherence of LLM Adjudicators in Call of Cthulhu TRPG2 Jul 2026
- 2026Closing the Activation-Cone Blind Spot: Response-Time Probing and Unified Defense28 Jun 2026
- 2026Talk is (Not) Cheap: A Taxonomy and Benchmark Coverage Audit for LLM Attacks14 May 2026
- 2026Characterizing Model-Native Skills19 Apr 2026
- 2026From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management4 Feb 2026
- 2026Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models30 Jan 2026
- 2025Quantifying CBRN Risk in Frontier Models24 Oct 2025
- 2025FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain17 Oct 2025
- 2025SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations5 Oct 2025
- 2025When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity14 Sep 2025
12 newest of 37 All 37 (JSON)