Large Language Model Safety

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Period ending 2026-09-21

27 new papers

A weekly snapshot of new work published in Large Language Model Safety.

Period ending 2026-09-14

12 new papers

A weekly snapshot of new work published in Large Language Model Safety.

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  1. Training a General Purpose Automated Red Teaming Model

    Apr 24, 2026Aishwarya Padmakumar, Leon Derczynski, Traian Rebedea +1Red-TeamingLanguage Model Evasion Attacks

  2. Multilingual Refusal Alignment for Safer Large Language Models

    Apr 24, 2026Aleksandra Krasnodębska, Wojciech Kusa, Aldo LipaniMultilingual SafetyCross-Lingual Alignment

  3. Estimating Tail Risks in Language Model Output Distributions

    Apr 24, 2026Rico Angell, Raghav Singhal, Zachary Horvitz +4Large Language Model Safety

  4. Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

    Apr 24, 2026Jun He, Deying YuMulti-Agent Large Language Model SystemsAgent Loop

  5. SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs

    Apr 24, 2026Sihang Zhao, Kangrui Yu, Youliang Yuan +2PedagogyTutors

  6. PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training

    Apr 23, 2026Harsh Kumar, Rahul Maity, Tanmay Joshi +4Language Model Evasion AttacksMultiple Attack Surfaces

  7. Sound Agentic Science Requires Adversarial Experiments

    Apr 23, 2026Dionizije Fa, Marko CuljakScientific DiscoveryFalsehood

  8. AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models

    Apr 23, 2026Tanmay Gautam, Alireza Bahramali, Sandeep AtluriRed-TeamingLanguage Model Evasion Attacks

  9. MathDuels: Evaluating LLMs as Problem Posers and Solvers

    Apr 23, 2026Zhiqiu Xu, Shibo Jin, Shreya Arya +1Problem Solving CapabilityReasoning Benchmark

  10. Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models

    Apr 23, 2026Naheed Rayhan, Sohely JahanLanguage Model Evasion AttacksLarge Language

  11. Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content

    Apr 23, 2026Lydie Bednarczyk, Jamil Zaghir, Julien Ehrsam +11Large Language Model SafetyClinical Notes

  12. Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers

    Apr 23, 2026Jiali Wei, Ming Fan, Guoheng Sun +3Language Model Evasion AttacksBackdoor Attacks

  13. CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

    Apr 23, 2026Wenjie Fu, Xiaoting Qin, Jue Zhang +5Data LeakageLarge Language Model Safety

  14. CAP: Controllable Alignment Prompting for Unlearning in LLMs

    Apr 23, 2026Zhaokun Wang, Jinyu Guo, Jingwen Pu +7Large Language Model UnlearningLarge Language Model Alignment

  15. Adaptive Instruction Composition for Automated LLM Red-Teaming

    Apr 22, 2026Jesse Zymet, Andy Luo, Swapnil Shinde +2Red-TeamingLanguage Model Evasion Attacks

  16. Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles

    Apr 22, 2026Irti Haq, Belén SaldíasLarge Language Model BiasLarge Language Model Safety

  17. Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

    Apr 22, 2026Yannis Belkhiter, Giulio Zizzo, Sergio Maffeis +2Language Model Evasion AttacksHijacking

  18. Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing

    Apr 22, 2026Abhijit TalluriAdversarial EvaluationSecurity Analysis

  19. CHASM: Unveiling Covert Advertisements on Chinese Social Media

    Apr 22, 2026Jingyi Zheng, Tianyi Hu, Yule Liu +5Social MediaLanguage Model Evasion Attacks

  20. Benchmarking Large Language Models for Safety Data Extraction

    Apr 22, 2026Jonas Grill, Thomas Bayer, Sören BerlingerLarge Language Model SafetyBenchmarking Large Language Models

  21. SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs

    Apr 22, 2026Chao Pan, Yu Wu, Xin YaoLarge Language Model SafetySafeguard

  22. Omission Constraints Decay While Commission Constraints Persist in Long-Context LLM Agents

    Apr 22, 2026Yeran GamageComplianceLarge Language Model Safety

  23. SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models

    Apr 21, 2026Josue Torres-Fonseca, Naihao Deng, Yinpei Dai +5Large Language Model SafetyAgentic Benchmarks

  24. Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection

    Apr 21, 2026Divyesh Gabbireddy, Suman SahaObfuscationLanguage Model Evasion Attacks

  25. Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges

    Apr 21, 2026Ali Al-Kaswan, Maksim Plotnikov, Maxim Hájek +3Red-TeamingLanguage Model Evasion Attacks

  26. Durable Evaluation Framework: Adversarial Arbitration for Sycophancy Reduction in Large Language Models

    Apr 21, 2026Sam RyanLarge Language Model EvaluationAdversarial Evaluation

  27. HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing

    Apr 21, 2026Euntae Kim, Soomin Han, Buru ChangLarge Language Model SafetyAdversarial Jailbreaks

  28. Detoxification for LLM: From Dataset Itself

    Apr 21, 2026Wei Shao, Yihang Wang, Gaoyu Zhu +4DetoxificationToxicity

  29. When Safety Fails Before the Answer: Benchmarking Harmful Behavior Detection in Reasoning Chains

    Apr 21, 2026Ishita Kakkar, Enze Zhang, Rheeya Uppaal +1Reasoning TracesLarge Language Model Safety

  30. STAR-Teaming: A Strategy-Response Multiplex Network Approach to Automated LLM Red Teaming

    Apr 21, 2026MinJae Jung, YongTaek Lim, Chaeyun Kim +3Red-TeamingLanguage Model Evasion Attacks

  31. Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams

    Apr 20, 2026Isaac Llorente-SaguerLarge Language Model SafetyInstruction-Tuned Models

  32. ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System

    Apr 20, 2026Jiacheng Liang, Yao Ma, Tharindu Kumarage +5Adversarial EvaluationReinforcement Learning From Human Feedback

  33. LLM Safety From Within: Detecting Harmful Content with Internal Representations

    Apr 20, 2026Difan Jiao, Yilun Liu, Ye Yuan +4Large Language Model SafetyHarmful Content

  34. Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model Safety

    Apr 20, 2026Marcello Galisai, Susanna Cifani, Francesco Giarrusso +5Adversarial EvaluationStylistic Fidelity

  35. Using large language models for embodied planning introduces systematic safety risks

    Apr 20, 2026Tao Zhang, Kaixian Qu, Zhibin Li +4Large Language Model PlanningClassical Planning

  36. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks

    Apr 20, 2026Jin Zhao, Marta Knežević, Tanja KäserLanguage Model Evasion AttacksTutors

  37. Owner-Harm: A Missing Threat Model for AI Agent Safety

    Apr 20, 2026Dongcheng Zhang, Yiqing JiangArtificial Intelligence SafetyThreat Models

  38. Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF

    Apr 20, 2026Yuan Fang, Yiming Luo, Aimin Zhou +1Adversarial PromptingToxicity

  39. A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development

    Apr 20, 2026Mohammed Kharma, Ahmed Sabbah, Radi Jarrar +3Large Language Model Safety

  40. MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models

    Apr 20, 2026Suhyun Lee, Palakorn Achananuparp, Neemesh Yadav +2Large Language Model SafetyLarge Language Model Evaluation

  41. SafeAgent: A Runtime Protection Architecture for Agentic Systems

    Apr 19, 2026Hailin Liu, Eugene Ilyushin, Jie Ni +1Large Language Model SafetyRuntime Enforcement

  42. Language models recognize dropout and Gaussian noise applied to their activations

    Apr 19, 2026Damiano Fornasiere, Mirko Bronzi, Spencer Kitts +3Model ActivationsTraining Language Models

  43. RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation

    Apr 19, 2026Juhyeon Lee, Wonduk Seo, Junseo Koh +3Large Language Model SafetyMoral Reasoning

  44. Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks

    Apr 18, 2026Tyler H. Merves, Michael H. Conaway, Joseph M. Escobar +2Language Model Evasion AttacksLarge Language Model Agents

  45. Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding

    Apr 18, 2026Yupeng Qi, Ziyu Lyu, Lixin Cui +2RefusalsLarge Language Model Safety

  46. When Choices Become Risks: Safety Failures of Large Language Models under Multiple-Choice Constraints

    Apr 18, 2026Yuheng Chen, Zhiyu Wu, Bowen Cheng +1Large Language Model SafetySafety Alignment

  47. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training

    Apr 18, 2026Ziwen Pan, Zihan Liang, Jad Kabbara +1Large Language Model SafetyLarge Language

  48. SafeDream: Safety World Model for Proactive Early Jailbreak Detection

    Apr 18, 2026Bo Yan, Weikai Lin, Yada Zhu +1Jailbreak DetectionJailbreak Attacks

  49. Introspection Adapters: Training LLMs to Report Their Learned Behaviors

    Apr 18, 2026Keshav Shenoy, Li Yang, Abhay Sheshadri +4Language Model Evasion AttacksIntrospection Adapters

  50. HealthCraft: A Reinforcement Learning Safety Environment for Emergency Medicine

    Apr 18, 2026Brandon DentLarge Language Model SafetyEmergency Evacuations

  51. Surgical Repair of Insecure Code Generation in LLMs

    Apr 17, 2026Gustavo Sandoval, Brendan Dolan-Gavitt, Siddharth GargVulnerable CodeVulnerability Detection & Repair

  52. SafeLM: Unified Privacy-Aware Optimization for Trustworthy Federated Large Language Models

    Apr 17, 2026Noor Islam S. Mohammad, Uluğ BayazıtLarge Language Model SafetySafeguard

  53. Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases

    Apr 17, 2026Eric Gan, Aryan Bhatt, Buck Shlegeris +2SabotageAdversarial Evaluation

  54. MCBench: A Multicontext Safety Assessment Benchmark for Omni Large Language Models

    Apr 17, 2026Manh Luong, Tamas Abraham, Junae Kim +6Large Language Model SafetySafety Evaluation

  55. From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning

    Apr 17, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1Human-Ai InteractionLarge Language Model Reasoning

  56. Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs

    Apr 17, 2026Wai Man Si, Mingjie Li, Michael Backes +1Large Language Model SafetyLarge Language Model Alignment

  57. MemEvoBench: Benchmarking Safety Risks from Memory Misevolution in LLM Agents

    Apr 17, 2026Weiwei Xie, Shaoxiong Guo, Fan Zhang +5Large Language Model SafetyLarge Language Model Agents

  58. ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization

    Apr 17, 2026Yixu Huang, Xinglei Yu, Zhongyu WeiCode GenerationAdversarial Evaluation

  59. Conjunctive Prompt Attacks in Multi-Agent LLM Systems

    Apr 17, 2026Nokimul Hasan Arif, Qian Lou, Mengxin ZhengMulti-Agent Large Language Model SystemsLanguage Model Evasion Attacks

  60. TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic Contexts

    Apr 17, 2026Hua-Rong Chu, Kuan-Chun Wang, Yao-Te HuangMultilingual SafetyLarge Language Model Safety