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Delving into Transferable Adversarial Examples and Black-box Attacks
v1v2v3 (latest)

Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
    AAML
ArXiv (abs)PDFHTML

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

28 / 928 papers shown
Title
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial
  Examples
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen
Yash Sharma
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
80
641
0
13 Sep 2017
Art of singular vectors and universal adversarial perturbations
Art of singular vectors and universal adversarial perturbations
Valentin Khrulkov
Ivan Oseledets
AAML
78
132
0
11 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
84
250
0
01 Sep 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
97
1,365
0
28 Aug 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial
  Examples
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Yinpeng Dong
Hang Su
Jun Zhu
Fan Bao
AAML
143
129
0
18 Aug 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
115
1,894
0
14 Aug 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
Basel Alomair
AAML
143
595
0
27 Jul 2017
Synthesizing Robust Adversarial Examples
Synthesizing Robust Adversarial Examples
Anish Athalye
Logan Engstrom
Ilya Sutskever
Kevin Kwok
AAML
68
66
0
24 Jul 2017
Generic Black-Box End-to-End Attack Against State of the Art API Call
  Based Malware Classifiers
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
Ishai Rosenberg
A. Shabtai
Lior Rokach
Yuval Elovici
AAML
138
48
0
19 Jul 2017
APE-GAN: Adversarial Perturbation Elimination with GAN
APE-GAN: Adversarial Perturbation Elimination with GAN
Shiwei Shen
Guoqing Jin
Feng Dai
Yongdong Zhang
GAN
122
221
0
18 Jul 2017
NO Need to Worry about Adversarial Examples in Object Detection in
  Autonomous Vehicles
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu
Hussein Sibai
Evan Fabry
David A. Forsyth
AAML
104
282
0
12 Jul 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDLAAML
120
172
0
08 Jul 2017
UPSET and ANGRI : Breaking High Performance Image Classifiers
UPSET and ANGRI : Breaking High Performance Image Classifiers
Sayantan Sarkar
Ankan Bansal
U. Mahbub
Rama Chellappa
AAML
83
108
0
04 Jul 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He
James Wei
Xinyun Chen
Nicholas Carlini
Basel Alomair
AAML
114
242
0
15 Jun 2017
Towards Robust Detection of Adversarial Examples
Towards Robust Detection of Adversarial Examples
Tianyu Pang
Chao Du
Yinpeng Dong
Jun Zhu
AAML
87
18
0
02 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
56
1,210
0
25 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial
  Manipulation
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein
Maksym Andriushchenko
AAML
131
512
0
23 May 2017
Black-Box Attacks against RNN based Malware Detection Algorithms
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu
Ying Tan
66
151
0
23 May 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
215
2,738
0
19 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
156
808
0
28 Apr 2017
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAMLSILM
127
558
0
11 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu
Theerasit Issaranon
David A. Forsyth
GAN
120
381
0
01 Apr 2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory
  Perspective
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
Seong Joon Oh
Mario Fritz
Bernt Schiele
CVBMAAML
431
162
0
28 Mar 2017
Adversarial Transformation Networks: Learning to Generate Adversarial
  Examples
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
S. Baluja
Ian S. Fischer
GAN
87
286
0
28 Mar 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GANAAML
113
935
0
24 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning
  Systems
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems
Hossein Hosseini
Yize Chen
Sreeram Kannan
Baosen Zhang
Radha Poovendran
AAML
90
107
0
13 Mar 2017
Generating Adversarial Malware Examples for Black-Box Attacks Based on
  GAN
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Weiwei Hu
Ying Tan
GAN
95
465
0
20 Feb 2017
Learning Adversary-Resistant Deep Neural Networks
Learning Adversary-Resistant Deep Neural Networks
Qinglong Wang
Wenbo Guo
Kaixuan Zhang
Alexander Ororbia
Masashi Sugiyama
Xue Liu
C. Lee Giles
AAML
100
43
0
05 Dec 2016
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