Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1511.04599
Cited By
v1
v2
v3 (latest)
DeepFool: a simple and accurate method to fool deep neural networks
14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
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
R. Sahay
Rehana Mahfuz
Aly El Gamal
55
34
0
07 Dec 2018
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
Kathrin Grosse
David Pfaff
M. Smith
Michael Backes
AAML
63
34
0
06 Dec 2018
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
Abdullah Hamdi
Matthias Muller
Guohao Li
AAML
84
26
0
05 Dec 2018
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
Huangyi Ge
Sze Yiu Chau
Bruno Ribeiro
Ninghui Li
AAML
41
1
0
05 Dec 2018
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
311
285
0
03 Dec 2018
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
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
240
294
0
02 Dec 2018
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
Sean Saito
S. Roy
AAML
72
7
0
01 Dec 2018
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
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
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
145
271
0
30 Nov 2018
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
A. Galloway
A. Golubeva
Graham W. Taylor
SILM
AAML
38
0
0
30 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Lu Yang
AAML
CVBM
GAN
125
98
0
29 Nov 2018
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
Francesco Croce
Matthias Hein
AAML
74
21
0
28 Nov 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
S. Latif
R. Rana
Junaid Qadir
GAN
AAML
87
43
0
28 Nov 2018
Universal Adversarial Training
A. Mendrik
Mahyar Najibi
Zheng Xu
John P. Dickerson
L. Davis
Tom Goldstein
AAML
OOD
102
190
0
27 Nov 2018
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
Jianyu Wang
Haichao Zhang
OOD
AAML
87
119
0
26 Nov 2018
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
Shangxi Wu
Jitao Sang
Kaiyuan Xu
Jiaming Zhang
Jian Yu
AAML
52
7
0
24 Nov 2018
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
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
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
67
292
0
22 Nov 2018
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
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
GAN
53
2
0
20 Nov 2018
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
AAML
SILM
54
4
0
20 Nov 2018
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
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
Farzan Farnia
Jesse M. Zhang
David Tse
OOD
AAML
83
140
0
19 Nov 2018
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
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
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
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
T. A. Hogan
B. Kailkhura
AAML
64
10
0
09 Nov 2018
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
Yue Zhang
Yizheng Chen
Ahmed Abdou
Mohsen Guizani
AAML
43
23
0
06 Nov 2018
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
David Vigouroux
Sylvaine Picard
AAML
OOD
62
0
0
05 Nov 2018
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
Faiq Khalid
Hassan Ali
Hammad Tariq
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
MQ
100
37
0
04 Nov 2018
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
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
Pang Wei Koh
Jacob Steinhardt
Percy Liang
110
244
0
02 Nov 2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun
Jian Tang
Huichen Li
Yue Liu
Chaowei Xiao
Yao-Liang Chen
Basel Alomair
GNN
AAML
50
67
0
30 Oct 2018
Previous
1
2
3
...
39
40
41
...
44
45
46
Next