DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails
Paper
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2502.05163
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Published
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22
safety
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CRANE: Reasoning with constrained LLM generation
Paper • 2502.09061 • Published • 19 -
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
Paper • 2502.15799 • Published • 7 -
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
Paper • 2502.16776 • Published • 6 -
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Paper • 2502.17125 • Published • 11 -
SafeArena: Evaluating the Safety of Autonomous Web Agents
Paper • 2503.04957 • Published • 21 -
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Paper • 2504.01308 • Published • 13 -
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
Paper • 2504.10430 • Published • 4 -
MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits
Paper • 2504.03767 • Published • 3 -
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Paper • 2504.12782 • Published • 4 -
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
Paper • 2504.13203 • Published • 29 -
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Paper • 2504.15585 • Published • 9