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ProFeAT: Projected Feature Adversarial Training for Self-Supervised
  Learning of Robust Representations

ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations

9 June 2024
Sravanti Addepalli
Priyam Dey
R. Venkatesh Babu
ArXivPDFHTML

Papers citing "ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations"

3 / 3 papers shown
Title
Rethinking the Effect of Data Augmentation in Adversarial Contrastive
  Learning
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo
Yifei Wang
Yisen Wang
32
24
0
02 Mar 2023
Efficient and Effective Augmentation Strategy for Adversarial Training
Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
60
58
0
27 Oct 2022
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
674
0
19 Oct 2020
1