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Safety Alignment

Papers

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Showing 1–25 of 288 papers

TitleStatusHype
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMsCode2
TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data—0
Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message—0
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning—0
Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks—0
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMsCode0
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification—0
Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language ModelsCode1
Probing the Robustness of Large Language Models Safety to Latent PerturbationsCode1
Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning—0
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMsCode0
SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression—0
Monitoring Decomposition Attacks in LLMs with Lightweight Sequential MonitorsCode0
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring—0
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety PromptCode1
AdversariaL attacK sAfety aLIgnment(ALKALI): Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI)—0
Refusal-Feature-guided Teacher for Safe Finetuning via Data Filtering and Alignment Distillation—0
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguardsCode1
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language ModelsCode1
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment—0
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets—0
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning—0
DiaBlo: Diagonal Blocks Are Sufficient For FinetuningCode0
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageCode0
Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models—0
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