conftrace_

safety alignment

178 papers

Explore in graph

Co-occurring keywords

large language model (13587) jailbreak attack (225) adversarial attack (1621) model safety (101) harmful content (66) multimodal large language model (966) ai safety (235) language model (4599) llm safety (67) adversarial learning (1595)

Papers

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection CVPR 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy CVPR 2025
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? CVPR 2025
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment CVPR 2025
Building Helpful-Only Large Language Models: A Complete Approach from Motivation to Evaluation IJCNLP 2025
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases IJCNLP 2025
Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning COLING 2025
Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models NAACL 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models NAACL 2025
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks NAACL 2025
Building Helpful-Only Large Language Models: A Complete Approach from Motivation to Evaluation AACL 2025
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases AACL 2025
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues EMNLP 2024
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs ACL 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NIPS 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates NIPS 2024
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack NIPS 2024
Uncovering Safety Risks of Large Language Models through Concept Activation Vector NIPS 2024
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types NIPS 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes NIPS 2024
SafeWorld: Geo-Diverse Safety Alignment NIPS 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic ACL 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space NIPS 2024
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NIPS 2024