LLM Security

LLM: Large Language Model

Overview

LLM security examines how models and the systems around them can be manipulated, made to leak information, or induced to take unsafe actions. Attacks include prompt injection and jailbreaks, poisoned training data and backdoors, model extraction, side channels in shared serving systems, and vulnerabilities in generated code or tool-using agents. Defenses range from safer training and fine-tuning to runtime detectors, access controls, secure serving, and application-level isolation; evaluations increasingly use adaptive attacks and realistic agent, coding, and deployment benchmarks. A central tension is that model-level safeguards can fail under new inputs or system interactions, while stronger controls may reduce utility, privacy, or efficiency, making end-to-end testing and clear threat models essential.

Latest papers

CardsList

327 papers45 papers in the last four weeks, up 45% on the four weeks before. 0.3% of all new papers.

  1. Detection of adversarial intent in Human-AI teams using LLMs

    Mar 21, 2026Abed K. Musaffar, Ambuj Singh, Francesco BulloAI Agent SecurityAI Agent Monitoring

  2. Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models

    Mar 20, 2026Wenjing Hong, Zhonghua Rong, Li Wang +5Jailbreak AttacksLLM Jailbreak Attacks

  3. When AI Agrees Too Much: Manipulating Automated Code Review via Bias Injection

    Mar 19, 2026Georgios Alexopoulos, Nikolaos Alexopoulos, Diomidis Spinellis +1Automated Code ReviewAdversarial Attacks on LLMs

  4. Toward Reliable, Safe, and Secure LLMs for Scientific Applications

    Mar 18, 2026Saket Sanjeev Chaturvedi, Joshua Bergerson, Tanwi MallickLLM SafetyAI Agent Safety

  5. MCP-38: A Comprehensive Threat Taxonomy for Model Context Protocol Systems (v1.0)

    Mar 18, 2026Yi Ting Shen, Kentaroh Toyoda, Alex LeungMCP SecurityLLM Security

  6. Resource Consumption Threats in Large Language Models

    Mar 17, 2026Yuanhe Zhang, Xinyue Wang, Zhican Chen +8LLM SecurityLLM Inference Efficiency

  7. Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs

    Mar 14, 2026Zijian Ling, Pingyi Hu, Xiuyong Gao +6Adversarial AttacksLLM Security

  8. Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment

    Mar 13, 2026Sihao DingLLM SecurityLLM Safety Alignment

  9. CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks

    Mar 12, 2026Alexandre Le Mercier, Thomas Demeester, Chris DevelderLLM SecurityLanguage Model Robustness

  10. Cascade: Composing Software-Hardware Attack Gadgets for Adversarial Threat Amplification in Compound AI Systems

    Mar 12, 2026Sarbartha Banerjee, Prateek Sahu, Anjo Vahldiek-Oberwagner +2AI Agent SecurityLLM Security

  11. Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms

    Mar 11, 2026Maximilian Wendlinger, Daniel Kowatsch, Konstantin Böttinger +1Secure Code GenerationCode Language Models

  12. TOSSS: a CVE-based Software Security Benchmark for Large Language Models

    Mar 11, 2026Marc Damie, Murat Bilgehan Ertan, Domenico Essoussi +3LLM Safety BenchmarksSoftware Security

  13. CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-Tenant LLM Serving Systems

    Mar 11, 2026Panagiotis Georgios Pennas, Konstantinos Papaioannou, Marco Guarnieri +1LLM SecurityPrefix Caching

  14. FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation

    Mar 10, 2026Yinpeng Wu, Yitong Chen, Lixiang Wang +3LLM ServingOn-Device Language Model Inference

  15. Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

    Mar 9, 2026Guangnian Wan, Xinyin Ma, Gongfan Fang +1Language Model SteganographyLLM Security

  16. VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription

    Mar 8, 2026Sumit Ranjan, Sugandha Sharma, Ubaid Abbas +1LLM Security

  17. Where Do LLM-based Systems Break? A System-Level Security Framework for Risk Assessment and Treatment

    Mar 8, 2026Neha Nagaraja, Hayretdin BahsiLLM SecurityCybersecurity

  18. Good-Enough LLM Obfuscation (GELO)

    Mar 5, 2026Anatoly Belikov, Ilya FedotovPrivacy-Preserving Language ModelsLLM Security

  19. Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study

    Mar 4, 2026Neha Nagaraja, Hayretdin BahsiLLM SecurityAI Agent Security

  20. DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern

    Mar 2, 2026Xiaoyi Pang, Xuanyi Hao, Pengyu Liu +3LLM SecurityBackdoor Defense in LLMs

  21. Jailbreaking Embodied LLMs via Action-level Manipulation

    Mar 2, 2026Xinyu Huang, Qiang Yang, Leming Shen +2AI Agent SecurityLLM Security

  22. Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs

    Feb 28, 2026Jingyuan Xie, Wenjie Wang, Ji Wu +1Adversarial Attacks on LLMsLLM Security

  23. A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring

    Feb 26, 2026Usman Anwar, Julianna Piskorz, David D. Baek +6Language Model SteganographyLLM Security

  24. Manifold of Failure: Behavioral Attraction Basins in Language Models

    Feb 25, 2026Sarthak Munshi, Manish Bhatt, Vineeth Sai Narajala +4LLM SecurityLLM Safety