update 7.15.2025

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Daizong Liu
2025-07-15 17:37:06 +08:00
committed by GitHub
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@@ -27,6 +27,7 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
- [Prompt Injection](#Prompt-Injection)
- [Data Poisoning](#Data-Poisoning)
- [Special Attacks For LVLM Applications](#Special-Attacks-For-LVLM-Applications)
- [Benchmarks](#Benchmarks)
<div align=center><img src="./img/four_attacks.png" width="90%" height="90%" /></div>
@@ -541,3 +542,9 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
* Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz
* Bosch Center for Artificial Intelligence, Technical University of Munich, Munich Center for Machine Learning, Saarland University, University of Strasbourg, IHU Strasbourg, CISPA Helmholtz Center for Information Security
* [Arxiv2025] https://arxiv.org/abs/2502.02438
## Benchmarks
* **Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study** |
* DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu
* POSTECH, LG AI Research
* [Arxiv2025] https://arxiv.org/abs/2505.15389