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Wenxin Zhang · Zihao Lin · Guangzhen Yao · Feng Zhou · Cuicui Luo · Renxiang Guan · Zonghao Ying · Xiaojian Lin · yangchen zeng · Renda Han
Zonghao Ying · Le Wang · Yisong Xiao · Jiakai Wang · Yuqing Ma · Jinyang Guo · Zhenfei Yin · Mingchuan Zhang · Aishan Liu · Xianglong Liu
Wenzhuo Xu · Zhipeng Wei · Zonghao Ying · Deyue Zhang · Dongdong Yang · Xiangzheng Zhang · Quanchen Zou
Multimodal Large Language Models (MLLMs) are vulnerable to jailbreak attacks, which can elicit harmful responses from MLLMs. Many MLLMs support multi-image inputs, inadvertently introducing new vulnerabilities due to less efforts on multi-image safety alignment. Previous MLLM jailbreak methods on...
Yaoyuan Zhang · Zonghao Ying · Aishan Liu · Jian Yang · Tianlin Li · Yaodong Yang · Xianglong Liu
Large language models (LLMs) exhibit growing safety and alignment risks, hindering their deployment in high-stakes decision-making scenarios. In this paper, we identify a previously underexplored risk: similar to humans, LLMs can exhibit egoistic decision-making, in which they pursue short-term s...
Zonghao Ying · Yangguang Shao · Jianle Gan · Gan Xu · Wenxin Zhang · Quanchen Zou · Junzheng Shi · Zhenfei Yin · Mingchuan Zhang · Aishan Liu · Xianglong Liu
Large vision–language model (LVLM)-based web agents are emerging as powerful automation tools but face severe security risks in real-world deployment. Existing benchmarks offer limited coverage, typically isolating user-level prompts from environmental threats, thus failing to capture the full sp...