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1905.02161
Cited By
Batch Normalization is a Cause of Adversarial Vulnerability
6 May 2019
A. Galloway
A. Golubeva
T. Tanay
M. Moussa
Graham W. Taylor
ODL
AAML
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Papers citing
"Batch Normalization is a Cause of Adversarial Vulnerability"
12 / 12 papers shown
Title
Fairness Increases Adversarial Vulnerability
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
34
6
0
21 Nov 2022
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
40
41
0
04 Jul 2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou
Wen Shen
Huixin Chen
Ling Tang
Quanshi Zhang
34
2
0
30 May 2022
On Fragile Features and Batch Normalization in Adversarial Training
Nils Philipp Walter
David Stutz
Bernt Schiele
AAML
27
5
0
26 Apr 2022
Clustering Effect of (Linearized) Adversarial Robust Models
Yang Bai
Xin Yan
Yong Jiang
Shutao Xia
Yisen Wang
OOD
AAML
41
5
0
25 Nov 2021
Batch Normalization Preconditioning for Neural Network Training
Susanna Lange
Kyle E. Helfrich
Qiang Ye
27
9
0
02 Aug 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
24
18
0
16 Apr 2021
On 1/n neural representation and robustness
Josue Nassar
Piotr A. Sokól
SueYeon Chung
K. Harris
Il Memming Park
AAML
OOD
24
23
0
08 Dec 2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
42
463
0
30 Jun 2020
New Interpretations of Normalization Methods in Deep Learning
Jiacheng Sun
Xiangyong Cao
Hanwen Liang
Weiran Huang
Zewei Chen
Zhenguo Li
21
35
0
16 Jun 2020
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
88
2,364
0
11 Nov 2019
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
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