safety training

Diversity Helps Jailbreak Large Language Models NAACL 2025 Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models NAACL 2025 Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025 LongSafety: Enhance Safety for Long-Context LLMs ACL 2025 On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback ICLR 2025 Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025 SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025 SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention EMNLP 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 SemanticCamo: Jailbreaking Large Language Models through Semantic Camouflage ACL 2025 Tongue-Tied: Breaking LLMs Safety Through New Language Learning NAACL 2025 Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement ACL 2025 A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models ACL 2024 Jailbreaking LLMs with Arabic Transliteration and Arabizi EMNLP 2024 Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024 SELF-GUARD: Empower the LLM to Safeguard Itself NAACL 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 Towards Safer Large Language Models through Machine Unlearning ACL 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NeurIPS 2024 Jailbroken: How Does LLM Safety Training Fail? NeurIPS 2023