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Safety Alignment

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Showing 201–250 of 288 papers

TitleStatusHype
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models—0
Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message—0
Trustworthy AI: Safety, Bias, and Privacy -- A Survey—0
Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models—0
TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data—0
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary—0
Understanding and Rectifying Safety Perception Distortion in VLMs—0
Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models—0
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models—0
Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs—0
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization—0
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap—0
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning—0
Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing—0
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift—0
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models—0
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets—0
Why Safeguarded Ships Run Aground? Aligned Large Language Models' Safety Mechanisms Tend to Be Anchored in The Template Region—0
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response—0
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation—0
PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models—0
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability—0
Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions—0
Refusal-Feature-guided Teacher for Safe Finetuning via Data Filtering and Alignment Distillation—0
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model—0
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models—0
Robustifying Safety-Aligned Large Language Models through Clean Data Curation—0
SafeArena: Evaluating the Safety of Autonomous Web Agents—0
SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?—0
SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety—0
LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks—0
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models—0
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment—0
Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models—0
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models—0
Safety Alignment Can Be Not Superficial With Explicit Safety Signals—0
Safety Alignment for Vision Language Models—0
Safety Alignment via Constrained Knowledge Unlearning—0
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation—0
PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive SamplingCode0
Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability DistributionsCode0
Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak AttackingCode0
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image ModelsCode0
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language ModelsCode0
Overriding Safety protections of Open-source ModelsCode0
One-Shot Safety Alignment for Large Language Models via Optimal DualizationCode0
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful KnowledgeCode0
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageCode0
AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language ModelsCode0
Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning ModelCode0
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