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Safety Alignment

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Showing 76–100 of 288 papers

TitleStatusHype
Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization—0
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models—0
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization—0
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents—0
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability—0
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?—0
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models—0
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak DefenderCode1
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationCode2
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models—0
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment—0
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization—0
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data—0
Effectively Controlling Reasoning Models through Thinking Intervention—0
VPO: Aligning Text-to-Video Generation Models with Prompt OptimizationCode1
sudo rm -rf agentic_securityCode1
LookAhead Tuning: Safer Language Models via Partial Answer PreviewsCode1
Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models—0
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model MergingCode1
Align in Depth: Defending Jailbreak Attacks via Progressive Answer Detoxification—0
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model—0
JBFuzz: Jailbreaking LLMs Efficiently and Effectively Using Fuzzing—0
Backtracking for Safety—0
Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs—0
SafeArena: Evaluating the Safety of Autonomous Web Agents—0
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