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1511.04599
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DeepFool: a simple and accurate method to fool deep neural networks
14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
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Papers citing
"DeepFool: a simple and accurate method to fool deep neural networks"
50 / 2,298 papers shown
Title
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
Chunfeng Cui
Kaiqi Zhang
Talgat Daulbaev
Julia Gusak
Ivan Oseledets
Zheng Zhang
AAML
61
25
0
29 Oct 2019
EdgeFool: An Adversarial Image Enhancement Filter
Ali Shahin Shamsabadi
Changjae Oh
Andrea Cavallaro
AAML
54
23
0
27 Oct 2019
Adversarial Defense via Local Flatness Regularization
Jia Xu
Yiming Li
Yong Jiang
Shutao Xia
AAML
103
18
0
27 Oct 2019
Understanding and Quantifying Adversarial Examples Existence in Linear Classification
Xupeng Shi
A. Ding
AAML
48
3
0
27 Oct 2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Xingxing Zhang
Shupeng Gui
Zhenfeng Zhu
Yao Zhao
Ji Liu
VLM
56
6
0
24 Oct 2019
Adversarial Example Detection by Classification for Deep Speech Recognition
Saeid Samizade
Zheng-Hua Tan
Chao Shen
X. Guan
AAML
79
35
0
22 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing
Sven Gowal
J. Uesato
Chongli Qin
Po-Sen Huang
Timothy A. Mann
Pushmeet Kohli
AAML
107
90
0
21 Oct 2019
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning
Jiaying Lu
Xin Ye
Yi Ren
Yezhou Yang
78
10
0
21 Oct 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification
Songxiang Liu
Haibin Wu
Hung-yi Lee
Helen Meng
AAML
68
65
0
19 Oct 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
Qing Guo
Xiaofei Xie
Felix Juefei-Xu
Lei Ma
Zhongguo Li
Wanli Xue
Wei Feng
Yang Liu
AAML
56
4
0
19 Oct 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Yasaman Esfandiari
Aditya Balu
K. Ebrahimi
Umesh Vaidya
N. Elia
Soumik Sarkar
OOD
59
3
0
18 Oct 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
205
103
0
17 Oct 2019
Adversarial Examples for Models of Code
Noam Yefet
Uri Alon
Eran Yahav
SILM
AAML
MLAU
132
169
0
15 Oct 2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
K. Ried
B. Eva
Thomas Müller
Hans J. Briegel
70
15
0
15 Oct 2019
Understanding Misclassifications by Attributes
Sadaf Gulshad
Zeynep Akata
J. H. Metzen
A. Smeulders
AAML
95
0
0
15 Oct 2019
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks
Fuyuan Zhang
Sankalan Pal Chowdhury
M. Christakis
AAML
58
8
0
14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Derui Wang
Wang
Chaoran Li
S. Wen
Surya Nepal
Yang Xiang
AAML
34
35
0
14 Oct 2019
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
H. Abdullah
Muhammad Sajidur Rahman
Washington Garcia
Logan Blue
Kevin Warren
Anurag Swarnim Yadav
T. Shrimpton
Patrick Traynor
AAML
75
88
0
11 Oct 2019
Noise as a Resource for Learning in Knowledge Distillation
Elahe Arani
F. Sarfraz
Bahram Zonooz
57
6
0
11 Oct 2019
Universal Adversarial Perturbation for Text Classification
Hang Gao
Tim Oates
AAML
108
15
0
10 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
144
19
0
08 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
Laurent Meunier
Cen Chen
Li Wang
MLAU
AAML
133
40
0
05 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao
Trung Le
Paul Montague
O. Vel
Tamas Abraham
Dinh Q. Phung
AAML
62
8
0
03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
Micah Goldblum
Liam H. Fowl
Tom Goldstein
83
13
0
02 Oct 2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
Yang Zhang
Shiyu Chang
Mo Yu
Kaizhi Qian
AAML
29
2
0
01 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha
Akshayvarun Subramanya
Koninika Patil
Hamed Pirsiavash
ObjD
AAML
112
54
0
30 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
MQ
96
18
0
27 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport
A. Bhagoji
Daniel Cullina
Prateek Mittal
OOD
OT
AAML
72
94
0
26 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia
Ahmed Salem
Michael Backes
Yang Zhang
Neil Zhenqiang Gong
108
398
0
23 Sep 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Jinkyu Koo
Michael A. Roth
S. Bagchi
AAML
232
3
0
22 Sep 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Aminollah Khormali
Ahmed A. Abusnaina
Songqing Chen
Daehun Nyang
Aziz Mohaisen
AAML
58
27
0
20 Sep 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization
Yaoyao Zhong
Weihong Deng
AAML
91
50
0
20 Sep 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
Sekitoshi Kanai
Yasutoshi Ida
Yasuhiro Fujiwara
Masanori Yamada
S. Adachi
AAML
44
1
0
19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
AAML
79
680
0
17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model
Prashanth Vijayaraghavan
D. Roy
AAML
49
36
0
17 Sep 2019
HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples
Wanting Yu
Hongyi Yu
Lingyun Jiang
Mengli Zhang
Kai Qiao
GAN
AAML
27
0
0
17 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Gilad Cohen
Guillermo Sapiro
Raja Giryes
TDI
73
128
0
15 Sep 2019
Wasserstein Diffusion Tikhonov Regularization
A. Lin
Yonatan Dukler
Wuchen Li
Guido Montúfar
38
2
0
15 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation
Zudi Lin
Hanspeter Pfister
Ziming Zhang
AAML
23
2
0
13 Sep 2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
Yaxin Peng
Chaomin Shen
Guixu Zhang
Jinsong Fan
AAML
41
13
0
13 Sep 2019
On educating machines
George Leu
Jiangjun Tang
AI4CE
27
0
0
13 Sep 2019
An Empirical Investigation of Randomized Defenses against Adversarial Attacks
Yannik Potdevin
Dirk Nowotka
Vijay Ganesh
AAML
49
4
0
12 Sep 2019
Inspecting adversarial examples using the Fisher information
Jörg Martin
Clemens Elster
AAML
50
15
0
12 Sep 2019
Feedback Learning for Improving the Robustness of Neural Networks
Chang Song
Zuoguan Wang
H. Li
AAML
65
7
0
12 Sep 2019
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
110
199
0
11 Sep 2019
Effectiveness of Adversarial Examples and Defenses for Malware Classification
Robert Podschwadt
Hassan Takabi
AAML
52
11
0
10 Sep 2019
FDA: Feature Disruptive Attack
Aditya Ganeshan
S. VivekB.
R. Venkatesh Babu
AAML
118
105
0
10 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
182
168
0
10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Byunggill Joe
Sung Ju Hwang
I. Shin
AAML
35
1
0
10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Zhenxin Xiao
Puyudi Yang
Yuchen Eleanor Jiang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
35
1
0
10 Sep 2019
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