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cs.CR2025
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
Yijun Yang, Lichao Wang, Jianping Zhang +3
The growing misuse of Vision-Language Models (VLMs) has led providers to deploy multiple safeguards, including alignment tuning, system prompts, and content moderation. However, th…
cs.AI2025
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
Jialong Zhou, Lichao Wang, Xiao Yang
The emergence of large language models (LLMs) enables the development of intelligent agents capable of engaging in complex and multi-turn dialogues. However, multi-agent collaborat…
cs.CV2025
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails
Yijun Yang, Lichao Wang, Xiao Yang +2
Vision Large Language Models (VLLMs) integrate visual data processing, expanding their real-world applications, but also increasing the risk of generating unsafe responses. In resp…