{"total":103,"rows":[{"id":"2406.04313","title":"Improving Alignment and Robustness with Circuit Breakers","created":"2024-06-06","cited_by_count":322,"area":"safety"},{"id":"2402.08983","title":"SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding","created":"2024-02-14","cited_by_count":247,"area":"safety"},{"id":"2402.11753","title":"ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs","created":"2024-02-19","cited_by_count":216,"area":"safety"},{"id":"2310.10844","title":"Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks","created":"2023-10-16","cited_by_count":194,"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":"2410.02832","title":"FlipAttack: Jailbreak LLMs via Flipping","created":"2024-10-02","cited_by_count":80,"area":"safety"},{"id":"2405.18166","title":"Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing","created":"2024-05-28","cited_by_count":79,"area":"safety"},{"id":"2406.02622","title":"Safeguarding Large Language Models: A Survey","created":"2024-06-03","cited_by_count":78,"area":"safety"},{"id":"2410.13708","title":"On the Role of Attention Heads in Large Language Model Safety","created":"2024-10-17","cited_by_count":72,"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":"2402.06255","title":"Fight Back Against Jailbreaking via Prompt Adversarial Tuning","created":"2024-02-09","cited_by_count":67,"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":"2403.12171","title":"EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models","created":"2024-03-18","cited_by_count":60,"area":"safety"},{"id":"2412.17686","title":"Large Language Model Safety: A Holistic Survey","created":"2024-12-23","cited_by_count":59,"area":"safety"},{"id":"2310.15851","title":"Self-Guard: Empower the LLM to Safeguard Itself","created":"2023-10-24","cited_by_count":54,"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":"2402.15911","title":"PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails","created":"2024-02-24","cited_by_count":52,"area":"safety"},{"id":"2404.05880","title":"Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge","created":"2024-04-08","cited_by_count":51,"area":"safety"},{"id":"2406.08705","title":"When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search","created":"2024-06-13","cited_by_count":47,"area":"safety"},{"id":"2407.14937","title":"Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)","created":"2024-07-20","cited_by_count":46,"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":"2506.09443","title":"LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge","created":"2025-06-11","cited_by_count":37,"area":"safety"},{"id":"2405.07932","title":"PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition","created":"2024-05-13","cited_by_count":35,"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":"2402.16006","title":"ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings","created":"2024-02-25","cited_by_count":32,"area":"safety"},{"id":"2402.13148","title":"Defending Jailbreak Prompts via In-Context Adversarial Game","created":"2024-02-20","cited_by_count":29,"area":"safety"},{"id":"2404.13968","title":"Protecting Your LLMs with Information Bottleneck","created":"2024-04-22","cited_by_count":29,"area":"safety"},{"id":"2409.08087","title":"Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks","created":"2024-09-12","cited_by_count":26,"area":"safety"},{"id":"2411.01077","title":"Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection","created":"2024-11-01","cited_by_count":23,"area":"safety"},{"id":"2412.17034","title":"Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models","created":"2024-12-22","cited_by_count":23,"area":"safety"},{"id":"2409.14866","title":"PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs","created":"2024-09-23","cited_by_count":21,"area":"safety"},{"id":"2407.00869","title":"Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks","created":"2024-07-01","cited_by_count":19,"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":"2503.08195","title":"Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation","created":"2025-03-11","cited_by_count":14,"area":"safety"},{"id":"2501.14250","title":"Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors","created":"2025-01-24","cited_by_count":13,"area":"safety"},{"id":"2505.24445","title":"Learning Safety Constraints for Large Language Models","created":"2025-05-30","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":"2410.06809","title":"Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level","created":"2024-10-09","cited_by_count":11,"area":"safety"},{"id":"2410.08660","title":"RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process","created":"2024-10-11","cited_by_count":11,"area":"safety"},{"id":"2505.16947","title":"MixAT: Combining Continuous and Discrete Adversarial Training for LLMs","created":"2025-05-22","cited_by_count":11,"area":"safety"},{"id":"2402.15727","title":"LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper","created":"2024-02-24","cited_by_count":10,"area":"safety"},{"id":"2502.15427","title":"Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs","created":"2025-02-21","cited_by_count":9,"area":"safety"},{"id":"2408.15207","title":"Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks","created":"2024-08-27","cited_by_count":8,"area":"safety"},{"id":"2504.02080","title":"Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses","created":"2025-04-02","cited_by_count":8,"area":"safety"},{"id":"2505.12060","title":"Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement","created":"2025-05-17","cited_by_count":8,"area":"safety"},{"id":"2501.02629","title":"Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense","created":"2025-01-05","cited_by_count":7,"area":"safety"},{"id":"2506.02442","title":"Should LLM Safety Be More Than Refusing Harmful Instructions?","created":"2025-06-03","cited_by_count":7,"area":"safety"},{"id":"2512.05485","title":"TeleAI-Safety: A comprehensive LLM jailbreaking benchmark towards attacks, defenses, and evaluations","created":"2025-12-05","cited_by_count":7,"area":"safety"},{"id":"2408.08924","title":"Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks","created":"2024-08-15","cited_by_count":6,"area":"safety"},{"id":"2505.07610","title":"Concept-Level Explainability for Auditing & Steering LLM Responses","created":"2025-05-12","cited_by_count":6,"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":"2501.18280","title":"Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models","created":"2025-01-30","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":"2506.06384","title":"Detection Method for Prompt Injection by Integrating Pre-trained Model and Heuristic Feature Engineering","created":"2025-06-05","cited_by_count":5,"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":"2510.26096","title":"ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models","created":"2025-10-30","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":"2409.17699","title":"MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks","created":"2024-09-26","cited_by_count":3,"area":"safety"},{"id":"2410.02220","title":"Data to Defense: The Role of Curation in Customizing LLMs Against Jailbreaking Attacks","created":"2024-10-03","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":"2504.12321","title":"AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks","created":"2025-04-10","cited_by_count":3,"area":"safety"},{"id":"2508.14128","title":"CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection","created":"2025-08-19","cited_by_count":3,"area":"safety"},{"id":"2601.03600","title":"ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification","created":"2026-01-07","cited_by_count":3,"area":"safety"},{"id":"2604.14604","title":"Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection","created":"2026-04-16","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":"2410.13236","title":"SPIN: Self-Supervised Prompt INjection","created":"2024-10-17","cited_by_count":2,"area":"safety"},{"id":"2411.09125","title":"DROJ: A Prompt-Driven Attack against Large Language Models","created":"2024-11-14","cited_by_count":2,"area":"safety"},{"id":"2412.07672","title":"DYNASHIELD: A Black-Box Moving Target Defense for LLMs via Dynamic Decoding Customization","created":"2024-12-10","cited_by_count":2,"area":"safety"},{"id":"2412.10423","title":"Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM","created":"2024-12-10","cited_by_count":2,"area":"safety"},{"id":"2502.14486","title":"How Jailbreak Defenses Work and Ensemble? A Mechanistic Investigation","created":"2025-02-20","cited_by_count":2,"area":"safety"},{"id":"2505.01315","title":"Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System","created":"2025-05-02","cited_by_count":2,"area":"safety"},{"id":"2508.01306","title":"PUZZLED: Jailbreaking LLMs through Word-Based Puzzles","created":"2025-08-02","cited_by_count":2,"area":"safety"},{"id":"2508.09190","title":"Multi-Level Safety Continual Projection for Fine-Tuned Large Language Models without Retraining","created":"2025-08-08","cited_by_count":2,"area":"safety"},{"id":"2410.05304","title":"Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs","created":"2024-10-04","cited_by_count":1,"area":"safety"},{"id":"2502.16109","title":"Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming","created":"2025-02-22","cited_by_count":1,"area":"safety"},{"id":"2503.03502","title":"Geometry-Guided Adversarial Prompt Detection via Curvature and Local Intrinsic Dimension","created":"2025-03-05","cited_by_count":1,"area":"safety"},{"id":"2503.12931","title":"MirrorShield: Towards Universal Defense Against Jailbreaks via Entropy-Guided Mirror Crafting","created":"2025-03-17","cited_by_count":1,"area":"safety"},{"id":"2504.01533","title":"LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution","created":"2025-04-02","cited_by_count":1,"area":"safety"},{"id":"2506.01770","title":"ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction","created":"2025-06-02","cited_by_count":1,"area":"safety"},{"id":"2509.24488","title":"Sanitize Your Responses: Mitigating Privacy Leakage in Large Language Models","created":"2025-09-29","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":"2603.28817","title":"GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models","created":"2026-03-28","cited_by_count":1,"area":"safety"},{"id":"2606.16527","title":"DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing","created":"2026-06-15","cited_by_count":1,"area":"safety"},{"id":"2607.01277","title":"Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety","created":"2026-07-01","cited_by_count":1,"area":"safety"},{"id":"2505.07167","title":"Decoding One Safety Trigger Token for Balancing Safety and Usability in Large Language Models","created":"2025-05-12","cited_by_count":0,"area":"safety"},{"id":"2505.17066","title":"Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration","created":"2025-05-18","cited_by_count":0,"area":"safety"},{"id":"2508.15648","title":"SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models","created":"2025-08-21","cited_by_count":0,"area":"safety"},{"id":"2511.11784","title":"NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks","created":"2025-11-14","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":"2512.12914","title":"CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs","created":"2025-12-15","cited_by_count":0,"area":"safety"},{"id":"2602.02027","title":"Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron","created":"2026-02-02","cited_by_count":0,"area":"safety"},{"id":"2602.02280","title":"RACC: Representation-Aware Coverage Criteria for LLM Safety Testing","created":"2026-02-02","cited_by_count":0,"area":"safety"},{"id":"2602.19396","title":"Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement","created":"2026-02-23","cited_by_count":0,"area":"safety"},{"id":"2602.20102","title":"BarrierSteer: LLM Safety via Learning Barrier Steering","created":"2026-02-23","cited_by_count":0,"area":"safety"},{"id":"2604.10326","title":"Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion","created":"2026-04-11","cited_by_count":0,"area":"safety"},{"id":"2605.03095","title":"Revisiting JBShield: Breaking and Rebuilding Representation-Level Jailbreak Defenses","created":"2026-05-04","cited_by_count":0,"area":"safety"},{"id":"2605.13411","title":"Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution","created":"2026-05-13","cited_by_count":0,"area":"safety"},{"id":"2605.19321","title":"Exploring and Developing a Pre-Model Safeguard with Draft Models","created":"2026-05-19","cited_by_count":0,"area":"safety"},{"id":"2605.26409","title":"Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models","created":"2026-05-26","cited_by_count":0,"area":"safety"}],"next_cursor":"100"}