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update 7.31.2025
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@@ -194,6 +194,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Jiaming Zhang, Rui Hu, Qing Guo, Wei Yang Bryan Lim
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* Nanyang Technological University, Beijing Jiaotong University, A*STAR
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* [Arxiv2025] https://arxiv.org/abs/2507.00817
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* **RECALLED: An Unbounded Resource Consumption Attack on Large Vision-Language Models** | #
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* Haoran Gao, Yuanhe Zhang, Zhenhong Zhou, Lei Jiang, Fanyu Meng, Yujia Xiao, Kun Wang, Yang Liu, Junlan Feng
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* China Mobile Research Institute, Beijing University of Posts and Telecommunications, Nanyang Technological University, University of Science and Technology of China
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* [Arxiv2025] https://arxiv.org/abs/2507.18053
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* **Imperceptible Transfer Attack on Large Vision-Language Models** | #
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* Xiaowen Cai, Daizong Liu, Runwei Guan, Pan Zhou
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* Huazhong University of Science and Technology, Peking University, University of Liverpool
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@@ -364,6 +368,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Ziqi Miao, Yi Ding, Lijun Li, Jing Shao
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* Shanghai Artificial Intelligence Laboratory, Purdue University
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* [Arxiv2025] https://arxiv.org/abs/2507.02844
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* **PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking** | #
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* Quanchen Zou, Zonghao Ying, Moyang Chen, Wenzhuo Xu, Yisong Xiao, Yakai Li, Deyue Zhang, Dongdong Yang, Zhao Liu, Xiangzheng Zhang
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* 360 AI Security Lab, Beihang University, Wenzhou-Kean University, University of the Chinese Academy of Sciences
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* [Arxiv2025] https://arxiv.org/abs/2507.21540
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## Prompt-Injection
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* **Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs** |
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@@ -422,6 +430,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Xilong Wang, John Bloch, Zedian Shao, Yuepeng Hu, Shuyan Zhou, Neil Zhenqiang Gong
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* Duke University
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* [Arxiv2025] https://arxiv.org/abs/2505.11717
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* **Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding** | #
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* Chetan Pathade
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* CMU
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* [Arxiv2025] https://arxiv.org/abs/2507.22304
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## Data-Poisoning
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* **Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models** | [Github](https://github.com/umd-huang-lab/VLM-Poisoning)
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