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Towards Deep Learning Models Resistant to Adversarial Attacks
v1v2v3v4 (latest)

Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
    SILMOOD
ArXiv (abs)PDFHTMLGithub (752★)

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 7,067 papers shown
Deep Defense: Training DNNs with Improved Adversarial Robustness
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
334
119
0
23 Feb 2018
Hessian-based Analysis of Large Batch Training and Robustness to
  Adversaries
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Z. Yao
A. Gholami
Qi Lei
Kurt Keutzer
Michael W. Mahoney
416
176
0
22 Feb 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited
  Humans
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed
Shreya Shankar
Brian Cheung
Nicolas Papernot
Alexey Kurakin
Ian Goodfellow
Jascha Narain Sohl-Dickstein
AAML
340
280
0
22 Feb 2018
Adversarial Training for Probabilistic Spiking Neural Networks
Adversarial Training for Probabilistic Spiking Neural Networks
Alireza Bagheri
Osvaldo Simeone
Bipin Rajendran
AAML
125
28
0
22 Feb 2018
L2-Nonexpansive Neural Networks
L2-Nonexpansive Neural Networks
Haifeng Qian
M. Wegman
226
76
0
22 Feb 2018
Attack Strength vs. Detectability Dilemma in Adversarial Machine
  Learning
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Christopher Frederickson
Michael Moore
Glenn Dawson
R. Polikar
AAML
104
35
0
20 Feb 2018
On Lyapunov exponents and adversarial perturbation
On Lyapunov exponents and adversarial perturbation
Vinay Uday Prabhu
Nishant Desai
John Whaley
AAML
88
7
0
20 Feb 2018
Divide, Denoise, and Defend against Adversarial Attacks
Divide, Denoise, and Defend against Adversarial Attacks
Seyed-Mohsen Moosavi-Dezfooli
A. Shrivastava
Oncel Tuzel
AAML
159
46
0
19 Feb 2018
Are Generative Classifiers More Robust to Adversarial Attacks?
Are Generative Classifiers More Robust to Adversarial Attacks?
Yingzhen Li
John Bradshaw
Yash Sharma
AAML
251
85
0
19 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs
DARTS: Deceiving Autonomous Cars with Toxic Signs
Chawin Sitawarin
A. Bhagoji
Arsalan Mosenia
M. Chiang
Prateek Mittal
AAML
313
245
0
18 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
554
636
0
15 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
103
53
0
15 Feb 2018
Predicting Adversarial Examples with High Confidence
Predicting Adversarial Examples with High Confidence
A. Galloway
Graham W. Taylor
M. Moussa
AAML
135
9
0
13 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation
  Invariance for Deep Neural Networks
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Yusuke Tsuzuku
Issei Sato
Masashi Sugiyama
AAML
480
344
0
12 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILMAAML
705
985
0
09 Feb 2018
Blind Pre-Processing: A Robust Defense Method Against Adversarial
  Examples
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples
Adnan Siraj Rakin
Zhezhi He
Boqing Gong
Deliang Fan
AAML
169
4
0
05 Feb 2018
First-order Adversarial Vulnerability of Neural Networks and Input
  Dimension
First-order Adversarial Vulnerability of Neural Networks and Input Dimension
Carl-Johann Simon-Gabriel
Yann Ollivier
Léon Bottou
Bernhard Schölkopf
David Lopez-Paz
AAML
424
49
0
05 Feb 2018
Hardening Deep Neural Networks via Adversarial Model Cascades
Hardening Deep Neural Networks via Adversarial Model Cascades
Deepak Vijaykeerthy
Anshuman Suri
S. Mehta
Ponnurangam Kumaraguru
AAML
200
9
0
02 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
2.5K
3,373
0
01 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
297
498
0
31 Jan 2018
Certified Defenses against Adversarial Examples
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Abigail Z. Jacobs
AAML
366
990
0
29 Jan 2018
Deflecting Adversarial Attacks with Pixel Deflection
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya (Adi) Prakash
N. Moran
Solomon Garber
Antonella DiLillo
J. Storer
AAML
240
325
0
26 Jan 2018
CommanderSong: A Systematic Approach for Practical Adversarial Voice
  Recognition
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
Xuejing Yuan
Yuxuan Chen
Yue Zhao
Yunhui Long
Xiaokang Liu
Kai Chen
Shengzhi Zhang
Heqing Huang
Luyi Xing
Carl A. Gunter
AAML
323
380
0
24 Jan 2018
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Abdullah Al-Dujaili
Alex Huang
Erik Hemberg
Una-May O’Reilly
AAML
452
201
0
09 Jan 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
388
556
0
08 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
Basel Alomair
GANAAML
359
982
0
08 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
215
1,143
0
05 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Lin Wang
AAML
494
1,993
0
02 Jan 2018
A General Framework for Adversarial Examples with Objectives
A General Framework for Adversarial Examples with Objectives
Mahmood Sharif
Sruti Bhagavatula
Lujo Bauer
Michael K. Reiter
AAMLGAN
259
215
0
31 Dec 2017
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
357
1,211
0
27 Dec 2017
Exploring the Space of Black-box Attacks on Deep Neural Networks
Exploring the Space of Black-box Attacks on Deep Neural Networks
A. Bhagoji
Warren He
Yue Liu
Basel Alomair
AAML
64
75
0
27 Dec 2017
The Robust Manifold Defense: Adversarial Training using Generative
  Models
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
418
175
0
26 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples
ReabsNet: Detecting and Revising Adversarial Examples
Jiefeng Chen
Zihang Meng
Changtian Sun
Weiliang Tang
Yinglun Zhu
AAMLGAN
137
4
0
21 Dec 2017
Query-Efficient Black-box Adversarial Examples (superceded)
Query-Efficient Black-box Adversarial Examples (superceded)
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
AAMLMLAU
189
53
0
19 Dec 2017
HotFlip: White-Box Adversarial Examples for Text Classification
HotFlip: White-Box Adversarial Examples for Text Classification
J. Ebrahimi
Anyi Rao
Daniel Lowd
Dejing Dou
AAML
215
81
0
19 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
365
1,534
0
08 Dec 2017
Exploring the Landscape of Spatial Robustness
Exploring the Landscape of Spatial Robustness
Logan Engstrom
Brandon Tran
Dimitris Tsipras
Ludwig Schmidt
Aleksander Madry
AAML
391
381
0
07 Dec 2017
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAMLGANWIGM
463
385
0
06 Dec 2017
Towards Robust Neural Networks via Random Self-ensemble
Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu
Minhao Cheng
Huan Zhang
Cho-Jui Hsieh
FedMLAAML
381
444
0
02 Dec 2017
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting
  Privacy to Face Images
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
Vahid Mirjalili
S. Raschka
A. Namboodiri
Arun Ross
PICVCVBM
181
113
0
01 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab
O. Mikšík
Juil Sock
AAML
358
326
0
27 Nov 2017
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not
  Robust to Adversarial Examples
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Nicholas Carlini
D. Wagner
AAML
113
255
0
22 Nov 2017
Reinforcing Adversarial Robustness using Model Confidence Induced by
  Adversarial Training
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
Xi Wu
Uyeong Jang
Jiefeng Chen
Lingjiao Chen
S. Jha
AAML
218
21
0
21 Nov 2017
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Vincent Tjeng
Kai Y. Xiao
Russ Tedrake
AAML
273
119
0
20 Nov 2017
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples
Jihun Hamm
Akshay Mehra
AAML
230
7
0
12 Nov 2017
Crafting Adversarial Examples For Speech Paralinguistics Applications
Crafting Adversarial Examples For Speech Paralinguistics Applications
Yuan Gong
C. Poellabauer
AAML
212
126
0
09 Nov 2017
Intriguing Properties of Adversarial Examples
Intriguing Properties of Adversarial Examples
E. D. Cubuk
Barret Zoph
S. Schoenholz
Quoc V. Le
AAML
113
88
0
08 Nov 2017
Provable defenses against adversarial examples via the convex outer
  adversarial polytope
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
659
1,565
0
02 Nov 2017
Attacking Binarized Neural Networks
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQAAML
235
108
0
01 Nov 2017
PixelDefend: Leveraging Generative Models to Understand and Defend
  against Adversarial Examples
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2017
Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
AAML
403
823
0
30 Oct 2017
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