conftrace_

model safety

101 papers

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Co-occurring keywords

large language model (13587) jailbreak attack (225) adversarial attack (1621) safety alignment (178) ai safety (235) adversarial learning (1595) adversarial robustness (1341) model alignment (226) language model (4599) jailbreaking attack (26)

Papers

MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol EMNLP 2025
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context EMNLP 2025
SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models EMNLP 2025
Speculative Safety-Aware Decoding EMNLP 2025
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025
Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update AAAI 2025
MULBERE: Multilingual Jailbreak Robustness Using Targeted Latent Adversarial Training EMNLP 2025
Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack ACL 2025
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases IJCNLP 2025
Role-Aware Language Models for Secure and Contextualized Access Control in Organizations IJCNLP 2025
Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention COLING 2025
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic COLING 2025
Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning COLING 2025
Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models COLING 2025
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models NAACL 2025
Stronger Universal and Transferable Attacks by Suppressing Refusals NAACL 2025
Knowledge Graph Guided Evaluation of Abstention Techniques NAACL 2025
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image NAACL 2025
Attention Tracker: Detecting Prompt Injection Attacks in LLMs NAACL 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL 2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment EMNLP 2025
Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models ACL 2025
Dynamic Evil Score-Guided Decoding: An Efficient Decoding Framework For Red-Team Model ACL 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning ACL 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025