{"total":144,"rows":[{"id":"2404.01318","title":"JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models","created":"2024-03-28","cited_by_count":536,"area":"safety"},{"id":"2310.03684","title":"SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks","created":"2023-10-05","cited_by_count":469,"area":"safety"},{"id":"2402.10260","title":"A StrongREJECT for Empty Jailbreaks","created":"2024-02-15","cited_by_count":385,"area":"safety"},{"id":"2406.04313","title":"Improving Alignment and Robustness with Circuit Breakers","created":"2024-06-06","cited_by_count":322,"area":"safety"},{"id":"2407.04295","title":"Jailbreak Attacks and Defenses Against Large Language Models: A Survey","created":"2024-07-05","cited_by_count":230,"area":"safety"},{"id":"2402.16822","title":"Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts","created":"2024-02-26","cited_by_count":205,"area":"safety"},{"id":"2407.15549","title":"Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs","created":"2024-07-22","cited_by_count":173,"area":"safety"},{"id":"2404.07921","title":"AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs","created":"2024-04-11","cited_by_count":172,"area":"safety"},{"id":"2402.16835","title":"Eight Methods to Evaluate Robust Unlearning in LLMs","created":"2024-02-26","cited_by_count":163,"area":"safety"},{"id":"2408.15221","title":"LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet","created":"2024-08-27","cited_by_count":151,"area":"safety"},{"id":"2403.04957","title":"Automatic and Universal Prompt Injection Attacks against Large Language Models","created":"2024-03-07","cited_by_count":119,"area":"safety"},{"id":"2405.21018","title":"Improved Techniques for Optimization-Based Jailbreaking on Large Language Models","created":"2024-05-31","cited_by_count":110,"area":"safety"},{"id":"2402.13457","title":"A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models","created":"2024-02-21","cited_by_count":106,"area":"safety"},{"id":"2402.05668","title":"JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs","created":"2024-02-08","cited_by_count":95,"area":"safety"},{"id":"2402.14020","title":"Coercing LLMs to do and reveal (almost) anything","created":"2024-02-21","cited_by_count":89,"area":"safety"},{"id":"2403.05030","title":"Defending Against Unforeseen Failure Modes with Latent Adversarial Training","created":"2024-03-08","cited_by_count":88,"area":"safety"},{"id":"2401.15897","title":"Red-Teaming for Generative AI: Silver Bullet or Security Theater?","created":"2024-01-29","cited_by_count":83,"area":"safety"},{"id":"2410.02832","title":"FlipAttack: Jailbreak LLMs via Flipping","created":"2024-10-02","cited_by_count":80,"area":"safety"},{"id":"2406.02622","title":"Safeguarding Large Language Models: A Survey","created":"2024-06-03","cited_by_count":78,"area":"safety"},{"id":"2403.00867","title":"Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes","created":"2024-03-01","cited_by_count":74,"area":"safety"},{"id":"2406.01288","title":"Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses","created":"2024-06-03","cited_by_count":70,"area":"safety"},{"id":"2403.13031","title":"RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content","created":"2024-03-19","cited_by_count":68,"area":"safety"},{"id":"2402.01822","title":"Building Guardrails for Large Language Models","created":"2024-02-02","cited_by_count":65,"area":"safety"},{"id":"2406.05498","title":"SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner","created":"2024-06-08","cited_by_count":63,"area":"safety"},{"id":"2412.17686","title":"Large Language Model Safety: A Holistic Survey","created":"2024-12-23","cited_by_count":59,"area":"safety"},{"id":"2502.07557","title":"JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation","created":"2025-02-11","cited_by_count":54,"area":"safety"},{"id":"2402.09674","title":"PAL: Proxy-Guided Black-Box Attack on Large Language Models","created":"2024-02-15","cited_by_count":50,"area":"safety"},{"id":"2403.04893","title":"A Safe Harbor for AI Evaluation and Red Teaming","created":"2024-03-07","cited_by_count":47,"area":"safety"},{"id":"2403.08424","title":"Distract Large Language Models for Automatic Jailbreak Attack","created":"2024-03-13","cited_by_count":45,"area":"safety"},{"id":"2505.24119","title":"The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It","created":"2025-05-30","cited_by_count":45,"area":"safety"},{"id":"2405.19103","title":"Voice Jailbreak Attacks Against GPT-4o","created":"2024-05-29","cited_by_count":42,"area":"safety"},{"id":"2401.16765","title":"A Cross-Language Investigation into Jailbreak Attacks in Large Language Models","created":"2024-01-30","cited_by_count":41,"area":"safety"},{"id":"2405.20099","title":"Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks","created":"2024-05-30","cited_by_count":37,"area":"safety"},{"id":"2410.15236","title":"Jailbreaking and Mitigation of Vulnerabilities in Large Language Models","created":"2024-10-20","cited_by_count":34,"area":"safety"},{"id":"2410.18210","title":"Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks","created":"2024-10-23","cited_by_count":33,"area":"safety"},{"id":"2409.08045","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","created":"2024-09-12","cited_by_count":30,"area":"safety"},{"id":"2504.10694","title":"The Jailbreak Tax: How Useful are Your Jailbreak Outputs?","created":"2025-04-14","cited_by_count":28,"area":"safety"},{"id":"2310.14303","title":"Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases","created":"2023-10-22","cited_by_count":24,"area":"safety"},{"id":"2408.04811","title":"h4rm3l: A language for Composable Jailbreak Attack Synthesis","created":"2024-08-09","cited_by_count":24,"area":"safety"},{"id":"2504.07887","title":"Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge","created":"2025-04-10","cited_by_count":23,"area":"safety"},{"id":"2502.03052","title":"Understanding and Enhancing the Transferability of Jailbreaking Attacks","created":"2025-02-05","cited_by_count":22,"area":"safety"},{"id":"2406.12354","title":"Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models","created":"2024-06-18","cited_by_count":20,"area":"safety"},{"id":"2410.01294","title":"Endless Jailbreaks with Bijection Learning","created":"2024-10-02","cited_by_count":19,"area":"safety"},{"id":"2409.11445","title":"Jailbreaking Large Language Models with Symbolic Mathematics","created":"2024-09-17","cited_by_count":16,"area":"safety"},{"id":"2409.15398","title":"Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI","created":"2024-09-23","cited_by_count":16,"area":"safety"},{"id":"2402.05467","title":"Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia","created":"2024-02-08","cited_by_count":14,"area":"safety"},{"id":"2404.19597","title":"TuBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning","created":"2024-04-30","cited_by_count":14,"area":"safety"},{"id":"2406.03805","title":"AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens","created":"2024-06-06","cited_by_count":14,"area":"safety"},{"id":"2508.20848","title":"JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring","created":"2025-08-28","cited_by_count":14,"area":"safety"},{"id":"2406.11757","title":"STAR: SocioTechnical Approach to Red Teaming Language Models","created":"2024-06-17","cited_by_count":13,"area":"safety"},{"id":"2410.11272","title":"Cognitive Overload Attack:Prompt Injection for Long Context","created":"2024-10-15","cited_by_count":13,"area":"safety"},{"id":"2509.14558","title":"LLM Jailbreak Detection for (Almost) Free!","created":"2025-09-18","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":"2408.11313","title":"An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer","created":"2024-08-21","cited_by_count":11,"area":"safety"},{"id":"2410.03869","title":"Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step","created":"2024-10-04","cited_by_count":11,"area":"safety"},{"id":"2407.17447","title":"FLRT: Fluent Student-Teacher Redteaming","created":"2024-07-24","cited_by_count":9,"area":"safety"},{"id":"2506.10022","title":"LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges","created":"2025-06-09","cited_by_count":9,"area":"safety"},{"id":"2511.05797","title":"When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins","created":"2025-11-08","cited_by_count":9,"area":"safety"},{"id":"2404.18534","title":"Evaluating and Mitigating Linguistic Discrimination in Large Language Models","created":"2024-04-29","cited_by_count":8,"area":"safety"},{"id":"2408.09326","title":"Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks","created":"2024-08-18","cited_by_count":8,"area":"safety"},{"id":"2409.07503","title":"AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs","created":"2024-09-11","cited_by_count":8,"area":"safety"},{"id":"2409.15361","title":"Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning","created":"2024-09-18","cited_by_count":8,"area":"safety"},{"id":"2410.13274","title":"Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning","created":"2024-10-17","cited_by_count":8,"area":"safety"},{"id":"2412.19037","title":"CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers","created":"2024-12-26","cited_by_count":8,"area":"safety"},{"id":"2406.18725","title":"Jailbreaking LLMs with Arabic Transliteration and Arabizi","created":"2024-06-26","cited_by_count":7,"area":"safety"},{"id":"2503.21598","title":"Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing","created":"2025-03-27","cited_by_count":7,"area":"safety"},{"id":"2505.23856","title":"OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities","created":"2025-05-29","cited_by_count":7,"area":"safety"},{"id":"2512.01353","title":"The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search","created":"2025-12-01","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":"2407.01902","title":"SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters","created":"2024-07-02","cited_by_count":6,"area":"safety"},{"id":"2501.13115","title":"Dagger Behind Smile: Fool LLMs with a Happy Ending Story","created":"2025-01-19","cited_by_count":6,"area":"safety"},{"id":"2405.19668","title":"AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization","created":"2024-05-30","cited_by_count":5,"area":"safety"},{"id":"2501.08246","title":"Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints","created":"2025-01-14","cited_by_count":5,"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":"2504.08104","title":"Geneshift: Impact of different scenario shift on Jailbreaking LLM","created":"2025-04-10","cited_by_count":5,"area":"safety"},{"id":"2504.19440","title":"JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift","created":"2025-04-28","cited_by_count":5,"area":"safety"},{"id":"2505.18864","title":"Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework","created":"2025-05-24","cited_by_count":5,"area":"safety"},{"id":"2506.10236","title":"Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods","created":"2025-06-11","cited_by_count":5,"area":"safety"},{"id":"2507.04365","title":"Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs","created":"2025-07-06","cited_by_count":5,"area":"safety"},{"id":"2510.09871","title":"CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs","created":"2025-10-10","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":"2601.00588","title":"CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patterns","created":"2026-01-02","cited_by_count":5,"area":"safety"},{"id":"2406.14048","title":"Prompt Injection Attacks in Defended Systems","created":"2024-06-20","cited_by_count":4,"area":"safety"},{"id":"2411.01084","title":"Plentiful Jailbreaks with String Compositions","created":"2024-11-01","cited_by_count":4,"area":"safety"},{"id":"2502.15594","title":"SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention","created":"2025-02-21","cited_by_count":4,"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":"2510.05025","title":"Imperceptible Jailbreaking against Large Language Models","created":"2025-10-06","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":"2405.14490","title":"Impact of Non-Standard Unicode Characters on Security and Comprehension in Large Language Models","created":"2024-05-23","cited_by_count":3,"area":"safety"},{"id":"2501.16534","title":"Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs","created":"2025-01-27","cited_by_count":3,"area":"safety"},{"id":"2503.17932","title":"STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models","created":"2025-03-23","cited_by_count":3,"area":"safety"},{"id":"2603.11914","title":"Understanding LLM Behavior When Encountering User-Supplied Harmful Content in Harmless Tasks","created":"2026-03-12","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":"2606.01322","title":"TukaBench: A Culturally Grounded Jailbreak Benchmark for African Languages","created":"2026-05-31","cited_by_count":3,"area":"safety"},{"id":"2608.16465","title":"JailbreakSkill: Scaling Automated Red-Teaming with Reusable and Ever-Evolving Skills","created":"2026-08-17","cited_by_count":3,"area":"safety"},{"id":"2407.13796","title":"Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models","created":"2024-07-16","cited_by_count":2,"area":"safety"},{"id":"2407.16686","title":"Can Large Language Models Automatically Jailbreak GPT-4V?","created":"2024-07-23","cited_by_count":2,"area":"safety"},{"id":"2501.10800","title":"Jailbreaking Large Language Models in Infinitely Many Ways","created":"2025-01-18","cited_by_count":2,"area":"safety"},{"id":"2504.09712","title":"The Structural Safety Generalization Problem","created":"2025-04-13","cited_by_count":2,"area":"safety"},{"id":"2507.07146","title":"Attention-Aware GNN-based Input Defense against Multi-Turn LLM Jailbreak","created":"2025-07-09","cited_by_count":2,"area":"safety"}],"next_cursor":"100"}