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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"
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Title
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
Umit Cali
Murat Kuzlu
Vinayak Sharma
M. Pipattanasomporn
Ferhat Ozgur Catak
13
1
0
19 Jan 2021
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
Jie Wang
Z. Yin
Jin Tang
Jing Jiang
Bin Luo
AAML
64
2
0
19 Jan 2021
Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
Jie Wang
Z. Yin
Jing Jiang
Yang Du
AAML
101
8
0
19 Jan 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
88
78
0
17 Jan 2021
Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation
Li-Yun Wang
Yeganeh Jalalpour
W. Feng
39
0
0
14 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang
Han Hu
Chunyang Chen
AAML
FedML
115
33
0
12 Jan 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Milad Nasr
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Nicholas Carlini
MIACV
FedML
173
226
0
11 Jan 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
Andreas Bär
Jonas Löhdefink
Nikhil Kapoor
Serin Varghese
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
AAML
192
35
0
11 Jan 2021
SyReNN: A Tool for Analyzing Deep Neural Networks
Matthew Sotoudeh
Aditya V. Thakur
AAML
GNN
63
16
0
09 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective
Pulei Xiong
Scott Buffett
Shahrear Iqbal
Philippe Lamontagne
M. Mamun
Heather Molyneaux
OOD
81
15
0
08 Jan 2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
Marissa Dotter
Sherry Xie
Keith Manville
Josh Harguess
Colin Busho
Mikel Rodriguez
AAML
45
2
0
08 Jan 2021
Adversarial Machine Learning for 5G Communications Security
Y. Sagduyu
T. Erpek
Yi Shi
AAML
85
43
0
07 Jan 2021
Corner case data description and detection
Tinghui Ouyang
Vicent Sant Marco
Yoshinao Isobe
H. Asoh
Y. Oiwa
Yoshiki Seo
AAML
57
13
0
07 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia
Ziqiang Li
Hongjing Niu
Bin Li
AAML
ELM
76
5
0
07 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons
Bo Hui
Yuchen Yang
Haolin Yuan
Philippe Burlina
Neil Zhenqiang Gong
Yinzhi Cao
MIACV
194
124
0
05 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
112
19
0
04 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach
Tao Xiang
Hangcheng Liu
Shangwei Guo
Tianwei Zhang
X. Liao
AAML
MLAU
46
15
0
04 Jan 2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Jing Lin
R. Luley
Kaiqi Xiong
AAML
83
8
0
01 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Lianli Gao
Qilong Zhang
Jingkuan Song
Heng Tao Shen
AAML
120
19
0
31 Dec 2020
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
Krishna Kanth Nakka
Mathieu Salzmann
AAML
31
5
0
30 Dec 2020
With False Friends Like These, Who Can Notice Mistakes?
Lue Tao
Lei Feng
Jinfeng Yi
Songcan Chen
AAML
70
6
0
29 Dec 2020
Analysis of Dominant Classes in Universal Adversarial Perturbations
Jon Vadillo
Roberto Santana
Jose A. Lozano
AAML
64
5
0
28 Dec 2020
Adversarial Momentum-Contrastive Pre-Training
Cong Xu
Dan Li
Min Yang
SSL
74
15
0
24 Dec 2020
The Translucent Patch: A Physical and Universal Attack on Object Detectors
Alon Zolfi
Moshe Kravchik
Yuval Elovici
A. Shabtai
AAML
67
89
0
23 Dec 2020
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach
Xuefei Ning
Jiaqi Zhao
Wenshuo Li
Tianchen Zhao
Yin Zheng
Huazhong Yang
Yu Wang
AAML
95
5
0
22 Dec 2020
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
Aidan Kehoe
P. Wittek
Yanbo Xue
Alejandro Pozas-Kerstjens
AAML
82
7
0
21 Dec 2020
Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring
Chenchen Zhao
Hao Li
AAML
27
3
0
21 Dec 2020
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
Chenchen Zhao
Hao Li
AAML
41
0
0
21 Dec 2020
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
91
22
0
20 Dec 2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Jinyin Chen
Zhen Wang
Haibin Zheng
Jun Xiao
Zhaoyan Ming
AAML
85
5
0
18 Dec 2020
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks
Kieran Browne
Ben Swift
AAML
GAN
58
30
0
18 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Qingsong Yao
Zecheng He
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
AAML
MedIm
109
16
0
17 Dec 2020
Adversarial trading
Alexandre Miot
AAML
56
1
0
16 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi
Muhammad Naveed
Fred Morstatter
Aram Galstyan
AAML
91
69
0
16 Dec 2020
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
Lu Chen
Jiao Sun
Wenyuan Xu
AAML
35
16
0
15 Dec 2020
Robustness Threats of Differential Privacy
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
AAML
97
14
0
14 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher
Chao Ma
Lexing Ying
71
1
0
14 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning
Ömer Faruk Tuna
Ferhat Ozgur Catak
M. T. Eskil
AAML
83
11
0
11 Dec 2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
Bingyao Huang
Haibin Ling
AAML
79
20
0
10 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay
Prerana Mukherjee
78
7
0
09 Dec 2020
Risk Management Framework for Machine Learning Security
J. Breier
A. Baldwin
H. Balinsky
Yang Liu
AAML
31
3
0
09 Dec 2020
Are DNNs fooled by extremely unrecognizable images?
Soichiro Kumano
Hiroshi Kera
T. Yamasaki
AAML
44
3
0
07 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedML
AAML
82
116
0
07 Dec 2020
A Singular Value Perspective on Model Robustness
Malhar Jere
Maghav Kumar
F. Koushanfar
AAML
86
6
0
07 Dec 2020
Practical No-box Adversarial Attacks against DNNs
Qizhang Li
Yiwen Guo
Hao Chen
AAML
75
59
0
04 Dec 2020
Towards Natural Robustness Against Adversarial Examples
Haoyu Chu
Shikui Wei
Yao-Min Zhao
AAML
26
1
0
04 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
Chunming Wu
Wassim Swaileh
AAML
66
2
0
02 Dec 2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella
João F. C. Mota
110
4
0
29 Nov 2020
A Targeted Universal Attack on Graph Convolutional Network
Jiazhu Dai
Weifeng Zhu
Xiangfeng Luo
AAML
GNN
44
20
0
29 Nov 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
Debayan Deb
Xiaoming Liu
Anil K. Jain
CVBM
AAML
PICV
98
27
0
28 Nov 2020
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