Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2202.11898
Cited By
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling
24 February 2022
Zhi-Yuan Zhang
Di Liu
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
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
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
Francesco Croce
Matthias Hein
AAML
227
1,858
0
03 Mar 2020
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
Eric Wong
Leslie Rice
J. Zico Kolter
AAML
OOD
138
1,181
0
12 Jan 2020
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
Puneet Mangla
Surgan Jandial
Sakshi Varshney
V. Balasubramanian
GAN
60
68
0
02 Aug 2019
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
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
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
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
315
12,131
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
273
8,583
0
16 Aug 2016
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
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1