Improving Adversarial Transferability of Visual-Language Pre-training Models through Collaborative Multimodal Interaction

no code implementations • 16 Mar 2024 • Jiyuan Fu, Zhaoyu Chen, Kaixun Jiang, Haijing Guo, Jiafeng Wang, Shuyong Gao, Wenqiang Zhang

Existing work rarely studies the transferability of attacks on VLP models, resulting in a substantial performance gap from white-box attacks.

Adversarial Robustness Text Retrieval

MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence

1 code implementation • CVPR 2023 • Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang

Semantic correspondence have built up a new way for object recognition.

Object Object Recognition +1

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization

2 code implementations • 21 Nov 2022 • Jiafeng Wang, Zhaoyu Chen, Kaixun Jiang, Dingkang Yang, Lingyi Hong, Pinxue Guo, Haijing Guo, Wenqiang Zhang

To tackle these issues, we propose Global Momentum Initialization (GI) to suppress gradient elimination and help search for the global optimum.