{"total":95,"rows":[{"id":"2503.15754","title":"AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration","created":"2025-03-20","cited_by_count":43,"area":"safety"},{"id":"2503.00187","title":"Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks","created":"2025-02-28","cited_by_count":20,"area":"safety"},{"id":"2510.21189","title":"Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency","created":"2025-10-24","cited_by_count":17,"area":"safety"},{"id":"2502.04204","title":"Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence","created":"2025-02-06","cited_by_count":14,"area":"safety"},{"id":"2512.07761","title":"TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards","created":"2025-12-08","cited_by_count":14,"area":"safety"},{"id":"2602.22983","title":"Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search","created":"2026-02-26","cited_by_count":13,"area":"safety"},{"id":"2411.14133","title":"GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs","created":"2024-11-21","cited_by_count":12,"area":"safety"},{"id":"2502.16903","title":"GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods","created":"2025-02-24","cited_by_count":12,"area":"safety"},{"id":"2509.22292","title":"Jailbreaking on Text-to-Video Models via Scene Splitting Strategy","created":"2025-09-26","cited_by_count":12,"area":"safety"},{"id":"2501.18638","title":"Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation","created":"2025-01-28","cited_by_count":11,"area":"safety"},{"id":"2503.02174","title":"Adversarial Tokenization","created":"2025-03-04","cited_by_count":11,"area":"safety"},{"id":"2504.15047","title":"RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity Search","created":"2025-04-21","cited_by_count":11,"area":"safety"},{"id":"2604.08499","title":"PIArena: A Platform for Prompt Injection Evaluation","created":"2026-04-09","cited_by_count":11,"area":"safety"},{"id":"2410.22143","title":"AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts","created":"2024-10-29","cited_by_count":10,"area":"safety"},{"id":"2502.09755","title":"Jailbreak Attack Initializations as Extractors of Compliance Directions","created":"2025-02-13","cited_by_count":10,"area":"safety"},{"id":"2506.07121","title":"Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models","created":"2025-06-08","cited_by_count":9,"area":"safety"},{"id":"2507.22063","title":"RedCoder: Automated Multi-Turn Red Teaming for Code LLMs","created":"2025-06-25","cited_by_count":9,"area":"safety"},{"id":"2509.03728","title":"PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming","created":"2025-09-03","cited_by_count":9,"area":"safety"},{"id":"2604.22167","title":"Estimating Tail Risks in Language Model Output Distributions","created":"2026-04-24","cited_by_count":9,"area":"safety"},{"id":"2507.01020","title":"AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models","created":"2025-04-18","cited_by_count":8,"area":"safety"},{"id":"2510.02286","title":"Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks","created":"2025-10-02","cited_by_count":8,"area":"safety"},{"id":"2511.12710","title":"Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs","created":"2025-11-16","cited_by_count":8,"area":"safety"},{"id":"2510.21910","title":"Adversarial D\\'ej\\`a Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks","created":"2025-10-24","cited_by_count":7,"area":"safety"},{"id":"2601.05445","title":"Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models","created":"2026-01-09","cited_by_count":7,"area":"safety"},{"id":"2601.10141","title":"Understanding and Preserving Safety in Fine-Tuned LLMs","created":"2026-01-15","cited_by_count":7,"area":"safety"},{"id":"2502.18504","title":"TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice","created":"2025-02-21","cited_by_count":6,"area":"safety"},{"id":"2504.05652","title":"Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking","created":"2025-04-08","cited_by_count":6,"area":"safety"},{"id":"2508.19292","title":"Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience","created":"2025-08-25","cited_by_count":6,"area":"safety"},{"id":"2601.20903","title":"ICON: Intent-Context Coupling for Efficient Multi-Turn Jailbreak Attack","created":"2026-01-28","cited_by_count":6,"area":"safety"},{"id":"2607.19829","title":"DARWIN: Evolving Jailbreak Adversary and Guardrail for LLM Safety Evaluation and Protection","created":"2026-07-22","cited_by_count":6,"area":"safety"},{"id":"2502.05223","title":"KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs","created":"2025-02-05","cited_by_count":5,"area":"safety"},{"id":"2505.22037","title":"Jailbreak Distillation: Renewable Safety Benchmarking","created":"2025-05-28","cited_by_count":5,"area":"safety"},{"id":"2510.15476","title":"SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses","created":"2025-10-17","cited_by_count":5,"area":"safety"},{"id":"2512.03771","title":"In-Context Representation Hijacking","created":"2025-12-03","cited_by_count":5,"area":"safety"},{"id":"2503.24191","title":"When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output","created":"2025-03-31","cited_by_count":4,"area":"safety"},{"id":"2506.22666","title":"VERA: Variational Inference Framework for Jailbreaking Large Language Models","created":"2025-06-27","cited_by_count":4,"area":"safety"},{"id":"2510.08859","title":"Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models","created":"2025-10-09","cited_by_count":4,"area":"safety"},{"id":"2601.10543","title":"Defending Large Language Models Against Jailbreak Attacks via In-Decoding Safety-Awareness Probing","created":"2026-01-15","cited_by_count":4,"area":"safety"},{"id":"2602.00388","title":"Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode","created":"2026-01-30","cited_by_count":4,"area":"safety"},{"id":"2510.17947","title":"PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits","created":"2025-10-20","cited_by_count":3,"area":"safety"},{"id":"2601.03699","title":"RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models","created":"2026-01-07","cited_by_count":3,"area":"safety"},{"id":"2602.13547","title":"AISA: Awakening Intrinsic Safety Awareness in Large Language Models against Jailbreak Attacks","created":"2026-02-14","cited_by_count":3,"area":"safety"},{"id":"2602.20170","title":"CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation","created":"2026-02-09","cited_by_count":3,"area":"safety"},{"id":"2605.00706","title":"FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios","created":"2026-05-01","cited_by_count":3,"area":"safety"},{"id":"2605.05058","title":"SoK: Robustness in Large Language Models against Jailbreak Attacks","created":"2026-05-06","cited_by_count":3,"area":"safety"},{"id":"2605.08778","title":"Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking","created":"2026-05-09","cited_by_count":3,"area":"safety"},{"id":"2605.29237","title":"Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking","created":"2026-05-28","cited_by_count":3,"area":"safety"},{"id":"2503.08990","title":"Effective and Efficient Jailbreaks of Black-Box LLMs with Cross-Behavior Attacks","created":"2025-03-12","cited_by_count":2,"area":"safety"},{"id":"2508.16325","title":"ConceptGuard: Neuro-Symbolic Safety Guardrails via Sparse Interpretable Jailbreak Concepts","created":"2025-08-22","cited_by_count":2,"area":"safety"},{"id":"2508.16484","title":"HAMSA: Hijacking Aligned Compact Models via Stealthy Automation","created":"2025-08-22","cited_by_count":2,"area":"safety"},{"id":"2511.01375","title":"Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges","created":"2025-11-03","cited_by_count":2,"area":"safety"},{"id":"2602.24009","title":"Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking","created":"2026-02-27","cited_by_count":2,"area":"safety"},{"id":"2603.02588","title":"ExpGuard: LLM Content Moderation in Specialized Domains","created":"2026-03-03","cited_by_count":2,"area":"safety"},{"id":"2604.18976","title":"STAR-Teaming: A Strategy-Response Multiplex Network Approach to Automated LLM Red Teaming","created":"2026-04-21","cited_by_count":2,"area":"safety"},{"id":"2607.24897","title":"TYPO: Instruction-Dense Visual Jailbreaks against Commercial Closed-Source Image-Generation Models","created":"2026-07-27","cited_by_count":2,"area":"safety"},{"id":"2411.16769","title":"Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting","created":"2024-11-25","cited_by_count":1,"area":"safety"},{"id":"2507.00026","title":"RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models","created":"2025-06-17","cited_by_count":1,"area":"safety"},{"id":"2511.00554","title":"Red-teaming Activation Probes using Prompted LLMs","created":"2025-11-01","cited_by_count":1,"area":"safety"},{"id":"2512.03356","title":"From static to adaptive: immune memory-based jailbreak detection for large language models","created":"2025-12-03","cited_by_count":1,"area":"safety"},{"id":"2512.14751","title":"One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs","created":"2025-12-14","cited_by_count":1,"area":"safety"},{"id":"2601.03265","title":"Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models","created":"2025-12-18","cited_by_count":1,"area":"safety"},{"id":"2602.06440","title":"TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking","created":"2026-02-06","cited_by_count":1,"area":"safety"},{"id":"2603.05772","title":"Depth Charge: Jailbreak Large Language Models from Deep Safety Attention Heads","created":"2026-03-06","cited_by_count":1,"area":"safety"},{"id":"2604.11309","title":"The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems","created":"2026-04-13","cited_by_count":1,"area":"safety"},{"id":"2604.12817","title":"Understanding and Improving Continuous Adversarial Training for LLMs via In-context Learning Theory","created":"2026-04-14","cited_by_count":1,"area":"safety"},{"id":"2605.30693","title":"Triaging Threats to Specialized Guardrails","created":"2026-05-29","cited_by_count":1,"area":"safety"},{"id":"2606.04027","title":"MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models","created":"2026-06-01","cited_by_count":1,"area":"safety"},{"id":"2606.11425","title":"JailbreakOPT: Tool-Assisted Iterative Jailbreak Prompt Optimization","created":"2026-06-09","cited_by_count":1,"area":"safety"},{"id":"2606.19887","title":"FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming","created":"2026-06-18","cited_by_count":1,"area":"safety"},{"id":"2608.23028","title":"PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies","created":"2026-08-24","cited_by_count":1,"area":"safety"},{"id":"2511.02376","title":"AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models","created":"2025-11-04","cited_by_count":0,"area":"safety"},{"id":"2511.18581","title":"TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization","created":"2025-11-23","cited_by_count":0,"area":"safety"},{"id":"2512.04841","title":"SoK: a Comprehensive Causality Analysis Framework for Large Language Model Security","created":"2025-12-04","cited_by_count":0,"area":"safety"},{"id":"2512.13703","title":"Safe2Harm: Semantic Isomorphism Attacks for Jailbreaking Large Language Models","created":"2025-12-05","cited_by_count":0,"area":"safety"},{"id":"2601.13359","title":"Sockpuppetting: Jailbreaking LLMs by Combining Prefilling with Optimization","created":"2026-01-19","cited_by_count":0,"area":"safety"},{"id":"2603.16192","title":"Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models","created":"2026-03-17","cited_by_count":0,"area":"safety"},{"id":"2603.20122","title":"Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models","created":"2026-03-20","cited_by_count":0,"area":"safety"},{"id":"2604.12232","title":"TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs","created":"2026-04-14","cited_by_count":0,"area":"safety"},{"id":"2605.05116","title":"On the Hardness of Junking LLMs","created":"2026-05-06","cited_by_count":0,"area":"safety"},{"id":"2605.05682","title":"PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI","created":"2026-05-07","cited_by_count":0,"area":"safety"},{"id":"2605.10582","title":"Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing","created":"2026-05-11","cited_by_count":0,"area":"safety"},{"id":"2605.10611","title":"Re-Triggering Safeguards within LLMs for Jailbreak Detection","created":"2026-05-11","cited_by_count":0,"area":"safety"},{"id":"2605.21674","title":"Adversarial Reframing: A Framework for Targeted Generation in Language Models","created":"2026-05-20","cited_by_count":0,"area":"safety"},{"id":"2606.03647","title":"All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks","created":"2026-06-02","cited_by_count":0,"area":"safety"},{"id":"2606.15531","title":"Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance","created":"2026-06-14","cited_by_count":0,"area":"safety"},{"id":"2607.11070","title":"MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment","created":"2026-07-13","cited_by_count":0,"area":"safety"},{"id":"2608.03210","title":"ICO: Enhancing Semantic-Shift Jailbreaks via Iterative Context Optimization","created":"2026-08-04","cited_by_count":0,"area":"safety"},{"id":"2608.04034","title":"A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination","created":"2026-08-03","cited_by_count":0,"area":"safety"},{"id":"2608.09624","title":"Measuring the Wrong Thing: Internal Harmfulness Scores Anti-Rank Successful Jailbreaks","created":"2026-08-10","cited_by_count":0,"area":"safety"},{"id":"2608.17360","title":"Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call Budgets","created":"2026-08-18","cited_by_count":0,"area":"safety"},{"id":"2608.26506","title":"A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Families","created":"2026-08-27","cited_by_count":0,"area":"safety"},{"id":"2608.29564","title":"TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization","created":"2026-08-30","cited_by_count":0,"area":"safety"},{"id":"2609.02414","title":"Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking","created":"2026-09-02","cited_by_count":0,"area":"safety"},{"id":"2609.08256","title":"ACEA: An Adversarial Co-Evolution Arena for Head-to-Head Red-Team and Blue-Team LLM Testing","created":"2026-09-08","cited_by_count":0,"area":"safety"},{"id":"2610.05282","title":"Red-TTT: Test-Time Training for Automated Jailbreaking Large Language Models","created":"2026-10-04","cited_by_count":0,"area":"safety"}],"next_cursor":null}