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Safety Alignment

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Showing 51–100 of 288 papers

TitleStatusHype
DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP ProtectionCode0
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question AnsweringCode0
"Haet Bhasha aur Diskrimineshun": Phonetic Perturbations in Code-Mixed Hinglish to Red-Team LLMs—0
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment—0
Safety Subspaces are Not Distinct: A Fine-Tuning Case StudyCode1
Linear Control of Test Awareness Reveals Differential Compliance in Reasoning ModelsCode1
sudoLLM : On Multi-role Alignment of Language Models—0
PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking AttacksCode2
Safety Alignment Can Be Not Superficial With Explicit Safety Signals—0
JULI: Jailbreak Large Language Models by Self-Introspection—0
SafeVid: Toward Safety Aligned Video Large Multimodal Models—0
Noise Injection Systemically Degrades Large Language Model Safety Guardrails—0
Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought CorrectionCode2
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs—0
Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data—0
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning—0
One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models—0
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks SafetyCode0
Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning ModelCode0
NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models—0
SAGE: A Generic Framework for LLM Safety EvaluationCode0
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift—0
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language ModelsCode0
AI Awareness—0
aiXamine: Simplified LLM Safety and Security—0
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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