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@@ -13,11 +13,12 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
> If you find our survey useful for your research, please consider citing:
```
@article{liu2024attack,
title={A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends},
@article{liu2025survey,
title={A survey of attacks on large vision--language models: Resources, advances, and future trends},
author={Liu, Daizong and Yang, Mingyu and Qu, Xiaoye and Zhou, Pan and Cheng, Yu and Hu, Wei},
journal={arXiv preprint arXiv:2407.07403},
year={2024}
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2025},
publisher={IEEE}
}
```
@@ -372,6 +373,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
* Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao
* University of Southern California, University of Toronto, University of Maryland, University of Wisconsin-Madison
* [Arxiv2025] https://arxiv.org/abs/2504.03770
* **PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization** | #
* Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin, Binxing Fang
* Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, Cyberspace Institute of Advanced Technology, Guangzhou University
* [ACL 2025] https://aclanthology.org/2025.acl-long.475/
* **BadNAVer: Exploring Jailbreak Attacks On Vision-and-Language Navigation** | #
* Wenqi Lyu, Zerui Li, Yanyuan Qiao, Qi Wu
* University of Adelaide
@@ -416,6 +421,10 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
* Xinzhe Huang, Wenjing Hu, Tianhang Zheng, Kedong Xiu, Xiaojun Jia, Di Wang, Zhan Qin, Kui Ren
* Zhejiang University, Nanjing University of Science and Technology, Nanyang Technological University, King Abdullah University of Science and Technology
* [Arxiv2025] https://arxiv.org/abs/2510.02999
* **VisualDAN: Exposing Vulnerabilities in VLMs with Visual-Driven DAN Commands** | #
* Aofan Liu, Lulu Tang
* Beijing Academy of Artificial Intelligence
* [Arxiv2025] http://arxiv.org/abs/2510.09699
* **Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses** | #
* Xingwei Zhong, Kar Wai Fok, Vrizlynn L.L. Thing
* Cybersecurity Strategic Technology Centre
@@ -440,6 +449,14 @@ Here, we've summarized existing LVLM Attack methods in our survey paper👍.
* Shiji Zhao, Shukun Xiong, Yao Huang, Yan Jin, Zhenyu Wu, Jiyang Guan, Ranjie Duan, Jialing Tao, Hui Xue, Xingxing Wei
* Beihang University
* [Arxiv2025] https://arxiv.org/abs/2512.05853
* **Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring** | #
* Peichun Hua, Hao Li, Shanghao Shi, Zhiyuan Yu, Ning Zhang
* Washington University in St. Louis, Texas A&M University
* [Arxiv2025] https://arxiv.org/abs/2512.12069
* **How to Trick Your AI TA: A Systematic Study of Academic Jailbreaking in LLM Code Evaluation** | #
* Devanshu Sahoo, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, Dhruv Kumar
* BITS Pilani, KIIT University
* [Arxiv2025] http://arxiv.org/abs/2512.10415
## Prompt-Injection
* **Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs** |