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Towards Understanding Dual BN In Hybrid Adversarial Training

Towards Understanding Dual BN In Hybrid Adversarial Training

Chenshuang Zhang
Chaoning Zhang
Kang Zhang
Axi Niu
Junmo Kim
In So Kweon
    AAML
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Papers citing "Towards Understanding Dual BN In Hybrid Adversarial Training"

5 / 5 papers shown
Title
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Philip H. S. Torr
Grégory Rogez
P. Dokania
AAML
49
45
0
02 Feb 2022
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
73
473
0
02 Feb 2021
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
253
1,491
0
30 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015