Search Results for author: Di Ming

Found 2 papers, 2 papers with code

TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization

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.

ViT-P: Rethinking Data-efficient Vision Transformers from Locality

1 code implementation4 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.

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