SOTAVerified

Safety Alignment

Papers

Showing 7180 of 288 papers

TitleStatusHype
Uncovering Safety Risks of Large Language Models through Concept Activation VectorCode1
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt TemplatesCode1
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety AlignmentCode1
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!Code1
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding SpaceCode1
MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceCode1
Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-AlignmentCode1
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual PromptsCode1
SuperHF: Supervised Iterative Learning from Human FeedbackCode1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
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