Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial Alignment
Daizong Liu · Xiaowen Cai · Junhao Dong · Zhongliang Guo · Xiaoye Qu · Runwei Guan · Xiang Fang · Dengpan Ye
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Daizong Liu · Xiaowen Cai · Junhao Dong · Zhongliang Guo · Xiaoye Qu · Runwei Guan · Xiang Fang · Dengpan Ye
Jiawei Zhou · Chi Zhang · Xiang Feng · Qiming ZHANG · Haibo Qiu · Lihuo He · Dengpan Ye · Xinbo Gao · Jing Zhang
We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimodal Models (LMMs) in converting complex, structured digital graphics into executable code. We argue that this task represents a non-trivial challenge for the current generation of LMMs: it demands a...
Yingjie Xue · Xingyou Xia · Jun Zhang · Yunbo Cao · Dengpan Ye · Guotong Geng · Fei Li
Large Language Models (LLMs) have been widely applied in various domains such as education and healthcare, making safety assurance crucial. Jailbreak attacks, a method used in red-teaming, can help evaluate and improve the defensive strategies of LLMs. However, existing jailbreak methods often ov...