16 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CR2023
Permutation Equivariance of Transformers and Its Applications
Hengyuan Xu, Liyao Xiang, Hangyu Ye +3
Revolutionizing the field of deep learning, Transformer-based models have achieved remarkable performance in many tasks. Recent research has recognized these models are robust to s…
cs.CV2022★ 5 cited
Denoising Masked AutoEncoders Help Robust Classification
Quanlin Wu, Hang Ye, Yuntian Gu +3
In this paper, we propose a new self-supervised method, which is called Denoising Masked AutoEncoders (DMAE), for learning certified robust classifiers of images. In DMAE, we corru…
cs.LG2022★ 16 cited
Guided Diffusion Model for Adversarial Purification from Random Noise
Quanlin Wu, Hang Ye, Yuntian Gu
In this paper, we propose a novel guided diffusion purification approach to provide a strong defense against adversarial attacks. Our model achieves 89.62% robust accuracy under PG…