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@@ -861,6 +861,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
* Youting Wang, Yuan Tang, Yitian Qian, Chen Zhao
* Northeastern University, Carnegie Mellon University, Boston University, New York University
* [Arxiv2026] https://arxiv.org/abs/2603.13385
* **PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models** | #
* Simone Gallivanone, Hossein Khodadadi, Mauro Dore, Mauro Medda, Nicola Franco
* The Italian Institute of Artificial Intelligence, HikmaAI S.r.l.
* [Arxiv2026] https://arxiv.org/abs/2606.24388
* **MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs** | [Github](https://github.com/chenyil6/MVI-Bench) #
* Huiyi Chen, Jiawei Peng, Dehai Min, Changchang Sun, Kaijie Chen, Yan Yan, Xu Yang, Lu Cheng
* UIUC, UIC, Southeast University