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cs.CR2026
What to Remember, What to Reveal: Privacy-Aware Memory for Conversational Agents
Wenjie Wang, Wenhe Si, Xinyue Xu +1
Long-term memory enables personalized conversational agents to retain user information across sessions. However, existing memory architectures primarily optimize for utility while…
cs.CR2026
EVA: Editing for Versatile Alignment against Jailbreaks
Yi Wang, Hongye Qiu, Yue Xu +4
Large Language Models (LLMs) and Vision Language Models (VLMs) have demonstrated impressive capabilities but remain vulnerable to jailbreaking attacks, where adversaries exploit te…
cs.CR2024
: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models
Fenghua Weng, Yue Xu, Chengyan Fu +1
As deep learning advances, Large Language Models (LLMs) and their multimodal counterparts, Multimodal Large Language Models (MLLMs), have shown exceptional performance in many real…