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Ensemble Adversarial Training: Attacks and Defenses

v1v2v3v4v5 (latest)

Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Florian Tramèr

Nicolas Papernot

Dan Boneh

Patrick McDaniel

ArXiv (abs)PDF HTML

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

21 / 1,471 papers shown

Certifying Some Distributional Robustness with Principled Adversarial
Training

Certifying Some Distributional Robustness with Principled Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2017

Hongseok Namkoong

590

914

0

29 Oct 2017

ADA: A Game-Theoretic Perspective on Data Augmentation for Object
Detection

ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection

134

4

0

21 Oct 2017

Boosting Adversarial Attacks with Momentum

Boosting Adversarial Attacks with Momentum

Yinpeng Dong

Jun Zhu

297

94

0

17 Oct 2017

Provably Minimally-Distorted Adversarial Examples

Provably Minimally-Distorted Adversarial Examples

Nicholas Carlini

Clark W. Barrett

210

91

0

29 Sep 2017

Fooling Vision and Language Models Despite Localization and Attention
Mechanism

Fooling Vision and Language Models Despite Localization and Attention Mechanism

234

41

0

25 Sep 2017

Mitigating Evasion Attacks to Deep Neural Networks via Region-based
Classification

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Neil Zhenqiang Gong

296

215

0

17 Sep 2017

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial
Examples

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

346

670

0

13 Sep 2017

Can Deep Neural Networks Match the Related Objects?: A Survey on
ImageNet-trained Classification Models

Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models

Alex A. Agarwal

153

6

0

12 Sep 2017

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep
Neural Networks

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks

Markus Hanselmann

Andrej Junginger

221

144

0

11 Sep 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

508

2,079

0

14 Aug 2017

Cascade Adversarial Machine Learning Regularized with a Unified
Embedding

Cascade Adversarial Machine Learning Regularized with a Unified EmbeddingInternational Conference on Learning Representations (ICLR), 2017

Saibal Mukhopadhyay

142

105

0

08 Aug 2017

Efficient Defenses Against Adversarial Attacks

Efficient Defenses Against Adversarial Attacks

Valentina Zantedeschi

Maria-Irina Nicolae

277

311

0

21 Jul 2017

APE-GAN: Adversarial Perturbation Elimination with GAN

APE-GAN: Adversarial Perturbation Elimination with GAN

281

239

0

18 Jul 2017

Towards Deep Learning Models Resistant to Adversarial Attacks

Towards Deep Learning Models Resistant to Adversarial Attacks

Aleksander Madry

Aleksandar Makelov

Dimitris Tsipras

1.5K

13,755

0

19 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

351

66

0

19 May 2017

The Space of Transferable Adversarial Examples

The Space of Transferable Adversarial Examples

Florian Tramèr

Nicolas Papernot

Dan Boneh

Patrick McDaniel

282

581

0

11 Apr 2017

Enhancing Robustness of Machine Learning Systems via Data
Transformations

Enhancing Robustness of Machine Learning Systems via Data Transformations

Chawin Sitawarin

200

243

0

09 Apr 2017

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Benjamin I. P. Rubinstein

150

6

0

06 Apr 2017

Adversarial Examples for Semantic Segmentation and Object Detection

Adversarial Examples for Semantic Segmentation and Object Detection

Cihang Xie

361

1,000

0

24 Mar 2017

Simple and Scalable Predictive Uncertainty Estimation using Deep
Ensembles

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Balaji Lakshminarayanan

Alexander Pritzel

Charles Blundell

1.4K

6,770

0

05 Dec 2016

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Nicolas Papernot

Nicholas Carlini

...

David Berthelot

Patrick McDaniel

317

537

0

03 Oct 2016

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