Overview

Jailbreak detection studies how to recognize malicious or policy-evading inputs before a model complies, including attacks hidden in long conversations, other languages, images, or obfuscated text. Approaches range from compact classifiers using lexical and semantic features to runtime monitors that inspect hidden states, token entropy, refusal signals, or output logits; some track risk across turns or combine multiple detectors. The field is expanding from prompt-only checks toward multilingual, multimodal, and decoding-time detection, with attention to latency and deployment cost. A central challenge is maintaining high recall at very low false-positive rates when attacks and benign inputs differ from training data, especially under adaptive attacks and realistic conversation distributions.

Latest papers

CardsList

36 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Bounded Reachability & Jailbreak Detection via Contraction-Constrained State Space Models

    Oct 2, 2026Omanshu ThapliyalCertified RobustnessState Space Models

  2. Reflex-Guard: A Low-Latency Guardrail for LLM Prompt Safety Using Dense Semantic Embeddings

    Aug 18, 2026Istiaque Ahmed, Afia Anjum Borsha, Ranat Das Prangon +2LLM GuardrailsAdversarial Attacks on LLMs

  3. Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

    Jun 26, 2026Yanchen Yin, Dongqi Han, Linghui LiAttention Head AnalysisJailbreak Attacks

  4. What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics

    Jun 23, 2026Sofiia Nikolenko, Michele Papucci, Mina Rezaei +1LLM InterpretabilityLLM Jailbreak Attacks

  5. Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework

    Jun 15, 2026David Huang, Jaewon Chang, Avidan Shah +2LLM Backdoor AttacksPrompt Injection Attacks

  6. BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems

    Jun 12, 2026Leonhard Waibl, Felix Michalak, Hadrien MariacciaLLM Safety BenchmarksLLM Guardrails

  7. GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection

    Jun 4, 2026Paulo Ricardo Ferreira Neves, Edson Rodrigues da Cruz Filho, Paulo Henrique Eleuterio Falsetti +7LLM GuardrailsNeural Network Robustness

  8. Evolving and Detecting Multi-Turn Deception using Geometric Signatures

    May 26, 2026Surender Suresh Kumar, Mary L. CummingsAdversarial Prompt GenerationDeception in Language Models

  9. Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection

    May 24, 2026Lixing Lin, Juli You, Yue Li +4Language Model Safety EvaluationLLM Guardrails

  10. Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes

    May 19, 2026Mohammed Alshaalan, Miguel R. D. RodriguesAdversarial Attacks on LLMsJailbreak Detection

  11. Exploring and Developing a Pre-Model Safeguard with Draft Models

    May 19, 2026Hongyu Cai, Arjun Arunasalam, Yiming Liang +2LLM GuardrailsSafety Filtering

  12. Re-Triggering Safeguards within LLMs for Jailbreak Detection

    May 11, 2026Zheng Lin, Zhenxing Niu, Haoxuan Ji +2LLM Jailbreak AttacksJailbreak Detection

  13. GLiGuard: Schema-Conditioned Classification for LLM Safeguard

    May 8, 2026Urchade Zaratiana, Mary Newhauser, George Hurn-Maloney +1Jailbreak DefenseText Classification

  14. Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection

    May 2, 2026Xulin Hu, Che Wang, Wei Yang Bryan Lim +2Adversarial Attacks on LLMsLLM Refusal Behavior

  15. TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

    Apr 30, 2026Bowen Sun, Chaozhuo Li, Yaodong Yang +2Jailbreak AttacksLLM Security

  16. Cross-Lingual Jailbreak Detection via Semantic Codebooks

    Apr 28, 2026Shirin Alanova, Bogdan Minko, Sabrina Sadiekh +1Multilingual Language Model EvaluationLLM Security

  17. One Jailbreak, Many Tongues: Learning Language-Insensitive Intention Representations for Multilingual Jailbreak Detection

    Apr 22, 2026Shuyu Jiang, Kaiyu Xu, Xingshu Chen +5Multilingual Language ModelsBack-Translation

  18. An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models

    Apr 20, 2026Hanrui Luo, Shreyank N GowdaLanguage Model Safety EvaluationLLM Auditing