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update 9.27.2025
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@@ -380,6 +380,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Renmiao Chen, Shiyao Cui, Xuancheng Huang, Chengwei Pan, Victor Shea-Jay Huang, QingLin Zhang, Xuan Ouyang, Zhexin Zhang, Hongning Wang, Minlie Huang
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* Tsinghua University, Beihang University
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* [Arxiv2025] https://arxiv.org/abs/2508.05087
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* **FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance Correction** | #
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* Runqi Lin, Alasdair Paren, Suqin Yuan, Muyang Li, Philip Torr, Adel Bibi, Tongliang Liu
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* The University of Sydney, University of Oxford
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* [Arxiv2025] https://arxiv.org/abs/2509.21029
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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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@@ -496,6 +500,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Zhiyuan Zhong, Zhen Sun, Yepang Liu, Xinlei He, Guanhong Tao
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* University of Utah, Hong Kong University of Science and Technology (Guangzhou), Southern University of Science and Technology
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* [Arxiv2025] https://arxiv.org/abs/2506.07214
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* **Poisoning Prompt-Guided Sampling in Video Large Language Models** | #
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* Yuxin Cao, Wei Song, Jingling Xue, Jin Song Dong
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* National University of Singapore, University of New South Wales, CSIRO’s Data61
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* [Arxiv2025] https://arxiv.org/abs/2509.20851
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## Special-Attacks-For-LVLM-Applications
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* **Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models** |
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@@ -566,6 +574,14 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* Qi Guo, Xiaojun Jia, Shanmin Pang, Simeng Qin, Lin Wang, Ju Jia, Yang Liu, Qing Guo
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* Xi’an Jiaotong University, Nanyang Technological University, Northeastern University, Hangzhou Dianzi University, Southeast University, A*STAR
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* [Arxiv2025] https://arxiv.org/abs/2508.05167
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* **Universal Camouflage Attack on Vision-Language Models for Autonomous Driving** | #
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* Dehong Kong, Sifan Yu, Siyuan Liang, Jiawei Liang, Jianhou Gan, Aishan Liu, Wenqi Ren
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* SUN YAT-SEN UNIVERSITY, National University of Singapore, Yunnan Normal University, Beihang University
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* [Arxiv2025] https://arxiv.org/abs/2509.20196
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* **FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models** | #
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* Xin Wang, Jie Li, Zejia Weng, Yixu Wang, Yifeng Gao, Tianyu Pang, Chao Du, Yan Teng, Yingchun Wang, Zuxuan Wu, Xingjun Ma, Yu-Gang Jiang
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* Fudan University, Shanghai AI Lab, Sea AI Lab
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* [Arxiv2025] https://arxiv.org/abs/2509.19870
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* **Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives** | [Github](https://github.com/drive-bench/toolkit) #
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* Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan
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* University of California, Shanghai AI Laboratory, National University of Singapore, Nanyang Technological University, The University of Hong Kong
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@@ -576,3 +592,7 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
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* DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu
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* POSTECH, LG AI Research
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* [EMNLP2025] https://arxiv.org/abs/2505.15389
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* **Benchmarking Gaslighting Attacks Against Speech Large Language Models** | #
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* Jinyang Wu, Bin Zhu, Xiandong Zou, Qiquan Zhang, Xu Fang, Pan Zhou
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* Singapore Management University, Tongyi Speech Lab, Dalian University of Technology
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* [Arxiv2025] https://arxiv.org/abs/2509.19858
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