From 2dd77a130c33f0aeeba1392a00eab1a339088188 Mon Sep 17 00:00:00 2001 From: Daizong Liu Date: Mon, 10 Aug 2026 13:54:05 +0800 Subject: [PATCH] update 8.10.2026 --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index b5f23a8..d636862 100644 --- a/README.md +++ b/README.md @@ -283,6 +283,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Zikai Zhang, Rui Hu, Olivera Kotevska, Jiahao Xu * University of Nevada, Oak Ridge National Laboratory * [Arxiv2026] https://arxiv.org/abs/2607.02819 +* **GeoThreat: Transferable Targeted Adversarial Attacks on Large Vision-Language Models for Remote Sensing Image Interpretation** | # + * Yimin Fu, Yuefeng Bai, Baicheng Pan, Zhunga Liu, Michael K. Ng + * Hong Kong Baptist University, Northwestern Polytechnical University + * [Arxiv2026] https://arxiv.org/abs/2607.21036 * **Are Large Vision-Language Models Robust to Adversarial Visual Transformations?** | # * Daizong Liu, Xiaowen Cai, Pan Zhou, Xiaoye Qu, Lichao Sun, Wei Hu * Wuhan University, Huazhong University of Science and Technology, Lehigh University, Peking University @@ -847,6 +851,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍. * Xiaofei Wang, Mingliang Han, Tianyu Hao, Yi Yang, Yun-Bo Zhao, Keke Tang * University of Science and Technology of China, Guangzhou University * [Arxiv2026] https://arxiv.org/abs/2606.03556 +* **When Prompts Control Robots: Prompt Injection Attacks in Multi-Agent Robotic Systems** | # + * Neha Nagaraja, Amisha Bagari, Hayretdin Bahsi + * Northern Arizona University, Tallinn University of Technology + * [Arxiv2026] https://arxiv.org/abs/2608.00747 ## Benchmarks * **Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study** | [Github](https://github.com/oneonlee/Meme-Safety-Bench) #