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1803.01442
Cited By
Stochastic Activation Pruning for Robust Adversarial Defense
5 March 2018
Guneet Singh Dhillon
Kamyar Azizzadenesheli
Zachary Chase Lipton
Jeremy Bernstein
Jean Kossaifi
Aran Khanna
Anima Anandkumar
AAML
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Papers citing
"Stochastic Activation Pruning for Robust Adversarial Defense"
50 / 324 papers shown
Mixed Nash Equilibria in the Adversarial Examples Game
International Conference on Machine Learning (ICML), 2021
Laurent Meunier
M. Scetbon
Rafael Pinot
Jamal Atif
Y. Chevaleyre
AAML
214
32
0
13 Feb 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
International Conference on Machine Learning (ICML), 2021
Hanshu Yan
Jingfeng Zhang
Gang Niu
Jiashi Feng
Vincent Y. F. Tan
Masashi Sugiyama
AAML
146
49
0
10 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Sahar Abdelnabi
Mario Fritz
AAML
113
7
0
09 Feb 2021
Target Training Does Adversarial Training Without Adversarial Samples
Blerta Lindqvist
AAML
144
0
0
09 Feb 2021
Noise Optimization for Artificial Neural Networks
Li Xiao
Zeliang Zhang
Yijie Peng
206
19
0
06 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks
International Conference on Pattern Recognition (ICPR), 2021
Quentin Bouniot
Romaric Audigier
Angélique Loesch
AAML
OOD
89
9
0
05 Feb 2021
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers
Xinwei Zhao
Matthew C. Stamm
AAML
97
4
0
26 Jan 2021
GAN Inversion: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
664
590
0
14 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation
I. Alsmadi
AAML
210
5
0
14 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
299
22
0
04 Jan 2021
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Jinyin Chen
Zhen Wang
Haibin Zheng
Jun Xiao
Zhaoyan Ming
AAML
250
5
0
18 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Qingsong Yao
Zecheng He
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
AAML
MedIm
297
19
0
17 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
164
11
0
10 Dec 2020
Evaluating adversarial robustness in simulated cerebellum
Liu Yuezhang
Bo Li
Qifeng Chen
AAML
241
2
0
05 Dec 2020
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
Optimization and Engineering (OE), 2020
Giuseppe Ughi
V. Abrol
Jared Tanner
AAML
211
15
0
03 Dec 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020
Debayan Deb
Xiaoming Liu
Anil K. Jain
CVBM
AAML
PICV
237
31
0
28 Nov 2020
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Luiz F. O. Chamon
Santiago Paternain
Alejandro Ribeiro
AAML
103
1
0
24 Nov 2020
Learnable Boundary Guided Adversarial Training
IEEE International Conference on Computer Vision (ICCV), 2020
Jiequan Cui
Shu Liu
Liwei Wang
Jiaya Jia
OOD
AAML
344
145
0
23 Nov 2020
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
Can Bakiskan
Metehan Cekic
Ahmet Dundar Sezer
Upamanyu Madhow
AAML
127
1
0
21 Nov 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
International Conference on Learning Representations (ICLR), 2020
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Hongbin Liu
Neil Zhenqiang Gong
219
26
0
15 Nov 2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
IEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2020
Lubin Meng
Jian Huang
Zhigang Zeng
Xue Jiang
Shan Yu
T. Jung
Chin-Teng Lin
Ricardo Chavarriaga
Dongrui Wu
AAML
281
38
0
30 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2020
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zinan Lin
285
258
0
26 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
Matthew L. Leavitt
Ari S. Morcos
AAML
194
2
0
14 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness?
Neural Information Processing Systems (NeurIPS), 2020
Boxi Wu
Jinghui Chen
Deng Cai
Xiaofei He
Quanquan Gu
AAML
406
104
0
03 Oct 2020
Efficient Robust Training via Backward Smoothing
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jinghui Chen
Yu Cheng
Zhe Gan
Quanquan Gu
Jingjing Liu
AAML
195
44
0
03 Oct 2020
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
Guneet Singh Dhillon
Nicholas Carlini
AAML
66
1
0
30 Sep 2020
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
ACM Transactions on Privacy and Security (TOPS), 2020
Yaguan Qian
Qiqi Shao
Jiamin Wang
Xiangyuan Lin
Yankai Guo
Zhaoquan Gu
Bin Wang
Chunming Wu
AAML
276
27
0
19 Sep 2020
Certifying Confidence via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Aounon Kumar
Alexander Levine
Soheil Feizi
Tom Goldstein
UQCV
242
41
0
17 Sep 2020
Achieving Adversarial Robustness via Sparsity
Machine-mediated learning (ML), 2020
Shu-Fan Wang
Ningyi Liao
Liyao Xiang
Nanyang Ye
Quanshi Zhang
AAML
171
18
0
11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
ACM Computing Surveys (ACM CSUR), 2020
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
256
182
0
08 Sep 2020
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks
Deboleena Roy
I. Chakraborty
Timur Ibrayev
Kaushik Roy
AAML
153
5
0
27 Aug 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
Abhiroop Bhattacharjee
Priyadarshini Panda
AAML
197
19
0
25 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
212
19
0
19 Aug 2020
Intelligence plays dice: Stochasticity is essential for machine learning
M. Sabuncu
212
6
0
17 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
417
80
0
07 Aug 2020
Attacking and Defending Machine Learning Applications of Public Cloud
Dou Goodman
Xin Hao
SILM
AAML
162
7
0
27 Jul 2020
RANDOM MASK: Towards Robust Convolutional Neural Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Liwei Wang
AAML
OOD
155
19
0
27 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding
Nupur Thakur
Baoxin Li
AAML
158
3
0
20 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness
European Conference on Computer Vision (ECCV), 2020
Anh-Vu Bui
Trung Le
He Zhao
Paul Montague
O. deVel
Tamas Abraham
Dinh Q. Phung
AAML
137
24
0
10 Jul 2020
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Damien Scieur
William L. Hamilton
AAML
GAN
329
56
0
01 Jul 2020
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
210
160
0
25 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
USENIX Security Symposium (USENIX Security), 2020
Huiying Li
Shawn Shan
Emily Wenger
Jiayun Zhang
Haitao Zheng
Ben Y. Zhao
AAML
268
51
0
24 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Knowledge Discovery and Data Mining (KDD), 2020
Jinghui Chen
Quanquan Gu
AAML
260
155
0
23 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness
Divyam Madaan
Jinwoo Shin
Sung Ju Hwang
NoLa
AAML
429
29
0
22 Jun 2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Antonios Alexos
Konstantinos P. Panousis
S. Chatzis
OOD
AAML
121
3
0
18 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAML
FAtt
290
43
0
16 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
188
43
0
13 Jun 2020
Tricking Adversarial Attacks To Fail
Blerta Lindqvist
AAML
101
0
0
08 Jun 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
International Conference on Learning Representations (ICLR), 2020
Mitch Hill
Jonathan Mitchell
Song-Chun Zhu
AAML
235
86
0
27 May 2020
Adaptive Adversarial Logits Pairing
Shangxi Wu
Jitao Sang
Kaiyan Xu
Guanhua Zheng
Changsheng Xu
AAML
172
3
0
25 May 2020
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