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Improving Robustness of Convolutional Neural Networks Using Element-Wise
  Activation Scaling

Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling

24 February 2022
Zhi-Yuan Zhang
Di Liu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling"

13 / 13 papers shown
Title
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai
Yuyuan Zeng
Yong Jiang
Shutao Xia
Xingjun Ma
Yisen Wang
AAML
75
131
0
11 Mar 2021
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
227
1,858
0
03 Mar 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
56
404
0
26 Feb 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAMLOOD
138
1,181
0
12 Jan 2020
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
91
992
0
29 Nov 2019
AdvGAN++ : Harnessing latent layers for adversary generation
AdvGAN++ : Harnessing latent layers for adversary generation
Puneet Mangla
Surgan Jandial
Sakshi Varshney
V. Balasubramanian
GAN
60
68
0
02 Aug 2019
Model Compression with Adversarial Robustness: A Unified Optimization
  Framework
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui
Haotao Wang
Chen Yu
Haichuan Yang
Zhangyang Wang
Ji Liu
MQ
59
138
0
10 Feb 2019
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
113
912
0
09 Dec 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
887
0
08 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
315
12,131
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
273
8,583
0
16 Aug 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,905
0
14 Nov 2015
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1