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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"

12 / 6,612 papers shown
Title
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
B. Rouhani
Mohammad Samragh
Mojan Javaheripi
T. Javidi
F. Koushanfar
AAML
53
15
0
08 Sep 2017
Improving Robustness of ML Classifiers against Realizable Evasion
  Attacks Using Conserved Features
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features
Liang Tong
Yue Liu
Chen Hajaj
Chaowei Xiao
Ning Zhang
Yevgeniy Vorobeychik
AAMLOOD
52
88
0
28 Aug 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
115
1,894
0
14 Aug 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
Basel Alomair
AAML
143
595
0
27 Jul 2017
Efficient Defenses Against Adversarial Attacks
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi
Maria-Irina Nicolae
Ambrish Rawat
AAML
74
297
0
21 Jul 2017
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang
S. Jha
Kamalika Chaudhuri
AAML
234
155
0
13 Jun 2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial
  Attacks with Moving Target Defense
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta
Tathagata Chakraborti
S. Kambhampati
AAML
137
63
0
19 May 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
217
2,738
0
19 May 2017
Enhancing Robustness of Machine Learning Systems via Data
  Transformations
Enhancing Robustness of Machine Learning Systems via Data Transformations
A. Bhagoji
Daniel Cullina
Chawin Sitawarin
Prateek Mittal
AAML
116
231
0
09 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
104
1,283
0
04 Apr 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
346
1,549
0
25 Jan 2017
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot
Fartash Faghri
Nicholas Carlini
Ian Goodfellow
Reuben Feinman
...
David Berthelot
P. Hendricks
Jonas Rauber
Rujun Long
Patrick McDaniel
AAML
98
516
0
03 Oct 2016
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