A Light Recipe to Train Robust Vision Transformers
Author:
Affiliation:
1. ETH Zurich,Department of Computer Science,Zürich,Switzerland
2. Princeton University,Department of Electrical and Computer Engineering,Princeton,United States
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10135546/10136129/10136149.pdf?arnumber=10136149
Reference77 articles.
1. Data augmentation can improve robustness;rebuffi;Advances in neural information processing systems,2021
2. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
3. Adversarial weight perturbation helps robust generalization;wu;Advances in neural information processing systems,2020
4. Robust learning meets generative models: Can proxy distributions improve adversarial robustness?;sehwag;ArXiv Preprint,2021
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