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DeepFool: a simple and accurate method to fool deep neural networks
v1v2v3 (latest)

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

14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
    AAML
ArXiv (abs)PDFHTML

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

50 / 2,298 papers shown
Title
Combatting Adversarial Attacks through Denoising and Dimensionality
  Reduction: A Cascaded Autoencoder Approach
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach
R. Sahay
Rehana Mahfuz
Aly El Gamal
55
34
0
07 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
111
539
0
06 Dec 2018
The Limitations of Model Uncertainty in Adversarial Settings
The Limitations of Model Uncertainty in Adversarial Settings
Kathrin Grosse
David Pfaff
M. Smith
Michael Backes
AAML
63
34
0
06 Dec 2018
On Configurable Defense against Adversarial Example Attacks
On Configurable Defense against Adversarial Example Attacks
Bo Luo
Min Li
Yu Li
Q. Xu
AAML
40
1
0
06 Dec 2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous
  Applications
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
Abdullah Hamdi
Matthias Muller
Guohao Li
AAML
84
26
0
05 Dec 2018
Regularized Ensembles and Transferability in Adversarial Learning
Regularized Ensembles and Transferability in Adversarial Learning
Yifan Chen
Yevgeniy Vorobeychik
AAML
47
2
0
05 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial
  Examples
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Huangyi Ge
Sze Yiu Chau
Bruno Ribeiro
Ninghui Li
AAML
41
1
0
05 Dec 2018
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAMLOOD
311
285
0
03 Dec 2018
Universal Perturbation Attack Against Image Retrieval
Universal Perturbation Attack Against Image Retrieval
Jie Li
Rongrong Ji
Hong Liu
Xiaopeng Hong
Yue Gao
Q. Tian
AAML
98
100
0
03 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
240
294
0
02 Dec 2018
FineFool: Fine Object Contour Attack via Attention
FineFool: Fine Object Contour Attack via Attention
Jinyin Chen
Haibin Zheng
Hui Xiong
Mengmeng Su
AAML
57
3
0
01 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial
  Robustness
Effects of Loss Functions And Target Representations on Adversarial Robustness
Sean Saito
S. Roy
AAML
72
7
0
01 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with
  Applications to Text Classification
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Qi Lei
Lingfei Wu
Pin-Yu Chen
A. Dimakis
Inderjit S. Dhillon
Michael Witbrock
AAML
102
92
0
01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding
Adversarial Defense by Stratified Convolutional Sparse Coding
Bo Sun
Nian-hsuan Tsai
Fangchen Liu
Ronald Yu
Hao Su
AAML
80
76
0
30 Nov 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
145
271
0
30 Nov 2018
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
142
224
0
30 Nov 2018
Adversarial Examples as an Input-Fault Tolerance Problem
Adversarial Examples as an Input-Fault Tolerance Problem
A. Galloway
A. Golubeva
Graham W. Taylor
SILMAAML
38
0
0
30 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional
  Adversarial Attack Generative Network
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Lu Yang
AAMLCVBMGAN
125
98
0
29 Nov 2018
Adversarial Attacks for Optical Flow-Based Action Recognition
  Classifiers
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers
Nathan Inkawhich
Matthew J. Inkawhich
Yiran Chen
H. Li
AAML
43
38
0
28 Nov 2018
A randomized gradient-free attack on ReLU networks
A randomized gradient-free attack on ReLU networks
Francesco Croce
Matthias Hein
AAML
74
21
0
28 Nov 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing
  Generative Adversarial Networks For Robustness
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
S. Latif
R. Rana
Junaid Qadir
GANAAML
87
43
0
28 Nov 2018
Universal Adversarial Training
Universal Adversarial Training
A. Mendrik
Mahyar Najibi
Zheng Xu
John P. Dickerson
L. Davis
Tom Goldstein
AAMLOOD
102
190
0
27 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
Jinghui Chen
Dongruo Zhou
Jinfeng Yi
Quanquan Gu
AAML
93
68
0
27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust
  Models Against Adversarial Attacks
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang
Haichao Zhang
OODAAML
87
119
0
26 Nov 2018
Learning Robust Representations for Automatic Target Recognition
Learning Robust Representations for Automatic Target Recognition
Justin A. Goodwin
Olivia M. Brown
Taylor W. Killian
Sung-Hyun Son
11
1
0
26 Nov 2018
Attention, Please! Adversarial Defense via Activation Rectification and
  Preservation
Attention, Please! Adversarial Defense via Activation Rectification and Preservation
Shangxi Wu
Jitao Sang
Kaiyuan Xu
Jiaming Zhang
Jian Yu
AAML
52
7
0
24 Nov 2018
Robustness via curvature regularization, and vice versa
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
J. Uesato
P. Frossard
AAML
102
319
0
23 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2
  Adversarial Attacks and Defenses
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony
L. G. Hafemann
Luiz Eduardo Soares de Oliveira
Ismail Ben Ayed
R. Sabourin
Eric Granger
AAML
78
299
0
23 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural
  Network Robustness against Adversarial Attack
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
67
292
0
22 Nov 2018
Recognizing Disguised Faces in the Wild
Recognizing Disguised Faces in the Wild
Maneet Singh
Richa Singh
Mayank Vatsa
Nalini Ratha
Rama Chellappa
CVBM
71
55
0
21 Nov 2018
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial
  Defense
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
GAN
53
2
0
20 Nov 2018
Intermediate Level Adversarial Attack for Enhanced Transferability
Intermediate Level Adversarial Attack for Enhanced Transferability
Qian Huang
Zeqi Gu
Isay Katsman
Horace He
Pian Pawakapan
Zhiqiu Lin
Serge J. Belongie
Ser-Nam Lim
AAMLSILM
54
4
0
20 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust
  Tensor Network Decomposition
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong
W. Ng
C.-C. Jay Kuo
AAML
53
0
0
20 Nov 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by
  Regularized Deep Embedding
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Yao Li
Martin Renqiang Min
Wenchao Yu
Cho-Jui Hsieh
T. C. Lee
E. Kruus
OT
60
7
0
19 Nov 2018
Generalizable Adversarial Training via Spectral Normalization
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia
Jesse M. Zhang
David Tse
OODAAML
83
140
0
19 Nov 2018
The Taboo Trap: Behavioural Detection of Adversarial Samples
The Taboo Trap: Behavioural Detection of Adversarial Samples
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Ross J. Anderson
AAML
59
14
0
18 Nov 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen
Yilin Shen
Xin Eric Wang
Wenjie Wang
UQCV
67
9
0
18 Nov 2018
DeepConsensus: using the consensus of features from multiple layers to
  attain robust image classification
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
Yuchen Li
Safwan Hossain
Kiarash Jamali
Frank Rudzicz
21
1
0
18 Nov 2018
Boosting the Robustness Verification of DNN by Identifying the
  Achilles's Heel
Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel
Chang-Xue Feng
Zhenbang Chen
W.-Y. Hong
Hengbiao Yu
Wei Dong
Ji Wang
AAML
59
1
0
17 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking
  Security-Through-Obscurity Defenses
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses
T. A. Hogan
B. Kailkhura
AAML
64
10
0
09 Nov 2018
A Geometric Perspective on the Transferability of Adversarial Directions
A Geometric Perspective on the Transferability of Adversarial Directions
Duncan C. McElfresh
H. Bidkhori
Dimitris Papailiopoulos
AAML
50
17
0
08 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Yue Zhang
Yizheng Chen
Ahmed Abdou
Mohsen Guizani
AAML
43
23
0
06 Nov 2018
SparseFool: a few pixels make a big difference
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
72
200
0
06 Nov 2018
FUNN: Flexible Unsupervised Neural Network
FUNN: Flexible Unsupervised Neural Network
David Vigouroux
Sylvaine Picard
AAMLOOD
62
0
0
05 Nov 2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on
  Adversarial Machine Learning
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Junaid Qadir
Mohamed Bennai
AAML
85
34
0
04 Nov 2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural
  Network against Adversarial Attacks
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Faiq Khalid
Hassan Ali
Hammad Tariq
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAMLMQ
100
37
0
04 Nov 2018
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep
  Neural Networks
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
83
21
0
02 Nov 2018
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
124
765
0
02 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Pang Wei Koh
Jacob Steinhardt
Percy Liang
110
244
0
02 Nov 2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun
Jian Tang
Huichen Li
Yue Liu
Chaowei Xiao
Yao-Liang Chen
Basel Alomair
GNNAAML
50
67
0
30 Oct 2018
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