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Guided Interpolation for Adversarial Training

Guided Interpolation for Adversarial Training

15 February 2021
Chen Chen
Jingfeng Zhang
Xilie Xu
Tianlei Hu
Gang Niu
Gang Chen
Masashi Sugiyama
    AAML
ArXivPDFHTML

Papers citing "Guided Interpolation for Adversarial Training"

5 / 5 papers shown
Title
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off
  in Adversarial Training
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
21
2
0
26 Jan 2024
Certified Robust Neural Networks: Generalization and Corruption
  Resistance
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna
Ryan Lucas
Bart P. G. Van Parys
22
10
0
03 Mar 2023
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
197
176
0
05 Feb 2021
1