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Ensemble Adversarial Training: Attacks and Defenses
v1v2v3v4v5 (latest)

Ensemble Adversarial Training: Attacks and Defenses

19 May 2017
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
    AAML
ArXiv (abs)PDFHTML

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

50 / 1,471 papers shown
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
344
280
0
22 Feb 2018
L2-Nonexpansive Neural Networks
L2-Nonexpansive Neural Networks
Haifeng Qian
M. Wegman
229
76
0
22 Feb 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision
  Mismatch
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch
João Monteiro
Isabela Albuquerque
Zahid Akhtar
T. Falk
AAML
218
31
0
21 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
252
85
0
19 Feb 2018
Security and Privacy Approaches in Mixed Reality: A Literature Survey
Security and Privacy Approaches in Mixed Reality: A Literature Survey
Jaybie A. de Guzman
Kanchana Thilakarathna
Aruna Seneviratne
226
152
0
15 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
572
636
0
15 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
106
53
0
15 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
481
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
721
988
0
09 Feb 2018
Fibres of Failure: Classifying errors in predictive processes
Fibres of Failure: Classifying errors in predictive processes
L. Carlsson
Gunnar Carlsson
Mikael Vejdemo-Johansson
AI4CE
212
4
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
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
203
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
3,380
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
501
0
31 Jan 2018
Certified Defenses against Adversarial Examples
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Abigail Z. Jacobs
AAML
384
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
241
325
0
26 Jan 2018
A3T: Adversarially Augmented Adversarial Training
A3T: Adversarially Augmented Adversarial Training
Akram Erraqabi
A. Baratin
Yoshua Bengio
Damien Scieur
AAML
138
9
0
12 Jan 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
390
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
985
0
08 Jan 2018
Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space
Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space
M. Singh
Abhishek Sinha
Balaji Krishnamurthy
AAML
78
8
0
03 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
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
67
75
0
27 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
583
1,746
0
19 Dec 2017
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware
  Classification Models
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models
Jack W. Stokes
De Wang
M. Marinescu
Marc Marino
Brian Bussone
AAML
98
26
0
16 Dec 2017
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box
  Machine Learning Models
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel
Jonas Rauber
Matthias Bethge
AAML
310
1,472
0
12 Dec 2017
NAG: Network for Adversary Generation
NAG: Network for Adversary Generation
Konda Reddy Mopuri
Utkarsh Ojha
Utsav Garg
R. Venkatesh Babu
AAML
231
153
0
09 Dec 2017
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
440
986
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
394
381
0
07 Dec 2017
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAMLGANWIGM
469
385
0
06 Dec 2017
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
Hieu M. Le
T. F. Y. Vicente
Vu Nguyen
Minh Hoai
Dimitris Samaras
124
123
0
04 Dec 2017
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
293
1,146
0
04 Dec 2017
Improving Network Robustness against Adversarial Attacks with Compact
  Convolution
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Rajeev Ranjan
S. Sankaranarayanan
Carlos D. Castillo
Rama Chellappa
AAML
123
14
0
03 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
382
445
0
02 Dec 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and
  Uncovering Biases
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases
Pierre Stock
Moustapha Cissé
FaML
229
47
0
30 Nov 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
Improving the Adversarial Robustness and Interpretability of Deep Neural
  Networks by Regularizing their Input Gradients
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
A. Ross
Finale Doshi-Velez
AAML
342
723
0
26 Nov 2017
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Ambrish Rawat
Martin Wistuba
Maria-Irina Nicolae
BDLAAML
117
41
0
22 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
Adversarial Attacks Beyond the Image Space
Adversarial Attacks Beyond the Image Space
Fangyin Wei
Chenxi Liu
Yu-Siang Wang
Weichao Qiu
Lingxi Xie
Yu-Wing Tai
Chi-Keung Tang
Alan Yuille
AAML
498
160
0
20 Nov 2017
Defense against Universal Adversarial Perturbations
Defense against Universal Adversarial Perturbations
Naveed Akhtar
Jian Liu
Lin Wang
AAML
340
213
0
16 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
LatentPoison - Adversarial Attacks On The Latent Space
LatentPoison - Adversarial Attacks On The Latent Space
Antonia Creswell
Anil A. Bharath
B. Sengupta
AAMLOOD
130
22
0
08 Nov 2017
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
352
785
0
06 Nov 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
424
1,164
0
06 Nov 2017
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Erwan Le Merrer
P. Pérez
Gilles Trédan
MLAUAAML
151
378
0
06 Nov 2017
HyperNetworks with statistical filtering for defending adversarial
  examples
HyperNetworks with statistical filtering for defending adversarial examples
Zhun Sun
Mete Ozay
Takayuki Okatani
AAML
102
16
0
06 Nov 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
642
1,532
0
31 Oct 2017
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
Attacking the Madry Defense Model with L1L_1L1​-based Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2017
Yash Sharma
Pin-Yu Chen
230
119
0
30 Oct 2017
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