From 37c8b6c3e78b169a17003ae13b96b3f05ea03fec Mon Sep 17 00:00:00 2001 From: Daizong Liu Date: Tue, 17 Feb 2026 21:58:21 +0800 Subject: [PATCH] update 2.17.2026 --- README.md | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/README.md b/README.md index c12ff10..8f4e4b1 100644 --- a/README.md +++ b/README.md @@ -247,6 +247,14 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Peng-Fei Zhang, Zi Huang * University of Queensland * [Arxiv2026] https://arxiv.org/abs/2601.10313 +* **Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models** | # + * Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu + * The Hong Kong Polytechnic University, Nanyang Technological University, Harbin Engineering University + * [Arxiv2026] https://arxiv.org/abs/2602.09431 +* **When and Where to Attack? Stage-wise Attention-Guided Adversarial Attack on Large Vision Language Models** | # + * Jaehyun Kwak, Nam Cao, Boryeong Cho, Segyu Lee, Sumyeong Ahn, Se-Young Yun + * KAIST, KENTECH + * [Arxiv2026] https://arxiv.org/abs/2602.04356 ## Jailbreak-Attack * **Are aligned neural networks adversarially aligned?** | @@ -477,6 +485,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Xiangdong Hu, Yangyang Jiang, Qin Hu, Xiaojun Jia * Georgia State University, Nanyang Technological University * [Arxiv2026] https://arxiv.org/abs/2601.03416 +* **When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models** | # + * Jiacheng Hou, Yining Sun, Ruochong Jin, Haochen Han, Fangming Liu, Wai Kin Victor Chan, Alex Jinpeng Wang + * Tsinghua University, Peng Cheng Laboratory, Central South University + * [Arxiv2026] https://arxiv.org/abs/2602.10179 ## Prompt-Injection * **Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs** | @@ -547,6 +559,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Chen Ling, Kai Hu, Hangcheng Liu, Xingshuo Han, Tianwei Zhang, Changhai Ou * Wuhan University, Nanyang Technological University, Nanjing University of Aeronautics and Astronautics * [Arxiv2026] https://arxiv.org/abs/2601.17383 +* **Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models** | # + * In Chong Choi, Jiacheng Zhang, Feng Liu, Yiliao Song + * The University of Melbourne, The University of Adelaide + * [Arxiv2026] https://arxiv.org/abs/2602.14399 ## Data-Poisoning * **Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models** | [Github](https://github.com/umd-huang-lab/VLM-Poisoning) @@ -617,6 +633,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Zihan Wang, Guansong Pang, Wenjun Miao, Jin Zheng, Xiao Bai * Beihang University, Singapore Management University * [Arxiv2025] https://arxiv.org/abs/2511.10098 +* **AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models** | # + * Yue Li, Xin Yi, Dongsheng Shi, Yongyi Cui, Gerard de Melo, Linlin Wang + * East China Normal University, University of Potsdam + * [Arxiv2026] https://arxiv.org/abs/2602.09611 ## Special-Attacks-For-LVLM-Applications * **Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models** |