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DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,353 papers shown

Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders

240

31 May 2018

Sequential Attacks on Agents for Long-Term Adversarial Goals

E. Tretschk

Seong Joon Oh

Mario Fritz

OnRL

612

31 May 2018

Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization

A. Bose

P. Aarabi

AAML

31 May 2018

Robustness May Be at Odds with Accuracy

642

1,884

30 May 2018

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

322

280

28 May 2018

Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness

Carlos Lassance

Vincent Gripon

Antonio Ortega

AAML

199

24 May 2018

Adversarially Robust Training through Structured Gradient Regularization

148

22 May 2018

A Simple Cache Model for Image Recognition

Emin Orhan

VLM

272

21 May 2018

Constructing Unrestricted Adversarial Examples with Generative Models

587

342

21 May 2018

Targeted Adversarial Examples for Black Box Audio Systems

166

198

20 May 2018

Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks

285

20 May 2018

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

604

1,237

17 May 2018

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

280

158

15 May 2018

Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks

174

14 May 2018

Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing

Jun Sun

197

14 May 2018

Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems

Chih-Hong Cheng

Chung-Hao Huang

Hirotoshi Yasuoka

11 May 2018

Adversarially Robust Generalization Requires More Data

455

840

30 Apr 2018

Formal Security Analysis of Neural Networks using Symbolic Intervals

310

510

28 Apr 2018

PANDA: Facilitating Usable AI Development

Jingren Zhou

241

26 Apr 2018

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning

146

24 Apr 2018

Black-box Adversarial Attacks with Limited Queries and InformationInternational Conference on Machine Learning (ICML), 2018

655

1,321

23 Apr 2018

VectorDefense: Vectorization as a Defense to Adversarial ExamplesStudies in Computational Intelligence (SCI), 2018

148

23 Apr 2018

118

22 Apr 2018

ADef: an Iterative Algorithm to Construct Adversarial DeformationsInternational Conference on Learning Representations (ICLR), 2018

238

107

20 Apr 2018

Robustness via Deep Low-Rank Representations

398

19 Apr 2018

Attacking Convolutional Neural Network using Differential EvolutionIPSJ Transactions on Computer Vision and Applications (IPSJ TCVA), 2018

Jiawei Su

Danilo Vasconcellos Vargas

Kouichi Sakurai

AAML

122

19 Apr 2018

Semantic Adversarial Deep LearningIEEE design & test (D&T), 2018

164

19 Apr 2018

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

445

457

16 Apr 2018

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the

L_0

Min Wu

173

16 Apr 2018

Adversarial Attacks Against Medical Deep Learning Systems

298

252

15 Apr 2018

On the Limitation of MagNet Defense against

L_1

-based Adversarial Examples

275

14 Apr 2018

Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks

Neale Ratzlaff

Fuxin Li

AAML FedML

116

05 Apr 2018

Task-Driven Super Resolution: Object Detection in Low-resolution Images

Muhammad Haris

Gregory Shakhnarovich

Norimichi Ukita

156

200

30 Mar 2018

The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples

132

28 Mar 2018

Clipping free attacks against artificial neural networks

26 Mar 2018

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

Nassir Navab

163

23 Mar 2018

Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization

Daniel Jakubovitz

Raja Giryes

AAML

412

221

23 Mar 2018

Robust Blind Deconvolution via Mirror Descent

Sathya Ravi

Ronak R. Mehta

Vikas Singh

169

21 Mar 2018

Adversarial Defense based on Structure-to-Signal Autoencoders

141

21 Mar 2018

Semantic Adversarial Examples

Hossein Hosseini

Radha Poovendran

GAN AAML

306

215

16 Mar 2018

Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task TrainingIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2018

252

14 Mar 2018

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial ExamplesComputer Vision and Pattern Recognition (CVPR), 2018

Qi Liu

226

307

14 Mar 2018

Deep Dictionary Learning: A PARametric NETwork ApproachIEEE Transactions on Image Processing (IEEE TIP), 2018

Shahin Mahdizadehaghdam

Ashkan Panahi

Hamid Krim

Liyi Dai

177

11 Mar 2018

BEBP: An Poisoning Method Against Machine Learning Based IDSs

123

11 Mar 2018

Combating Adversarial Attacks Using Sparse RepresentationsInternational Conference on Learning Representations (ICLR), 2018

167

11 Mar 2018

On Generation of Adversarial Examples using Convex Programming

133

09 Mar 2018

Sparse Adversarial Perturbations for Videos

Xingxing Wei

Jun Zhu

Hang Su

AAML

256

160

07 Mar 2018

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

425

257

03 Mar 2018

Protecting JPEG Images Against Adversarial AttacksData Compression Conference (DCC), 2018

Aaditya (Adi) Prakash

148

02 Mar 2018

Adversarial Active Learning for Deep Networks: a Margin Based Approach

Mélanie Ducoffe

F. Precioso

GAN AAML

277

304

27 Feb 2018