1 code implementation • ICCV 2023 • Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming
Aiming at crafting a single universal adversarial perturbation (UAP) to fool CNN models for various data samples, universal attack enables a more efficient and accurate evaluation for the robustness of CNN models.
1 code implementation • 4 Mar 2022 • Bin Chen, Ran Wang, Di Ming, Xin Feng
We make vision transformers as data-efficient as convolutional neural networks by introducing multi-focal attention bias.