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Back in Black: A Comparative Evaluation of Recent State-Of-The-Art
  Black-Box Attacks

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks

29 September 2021
Kaleel Mahmood
Rigel Mahmood
Ethan Rathbun
Marten van Dijk
    AAML
ArXiv (abs)PDFHTML

Papers citing "Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks"

43 / 43 papers shown
Title
Adversarial Example Detection for DNN Models: A Review and Experimental
  Comparison
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Ahmed Aldahdooh
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
171
124
0
01 May 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient
  Blackbox Attacks
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Huichen Li
Linyi Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
59
17
0
25 Feb 2021
SurFree: a fast surrogate-free black-box attack
SurFree: a fast surrogate-free black-box attack
Thibault Maho
Teddy Furon
Erwan Le Merrer
AAML
53
92
0
25 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
88
161
0
08 Sep 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Jinghui Chen
Quanquan Gu
AAML
53
139
0
23 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to
  Adversarial Examples
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Kaleel Mahmood
Deniz Gurevin
Marten van Dijk
Phuong Ha Nguyen
AAML
56
23
0
18 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
113
183
0
28 May 2020
Projection & Probability-Driven Black-Box Attack
Projection & Probability-Driven Black-Box Attack
Jie Li
Rongrong Ji
Hong Liu
Jianzhuang Liu
Bineng Zhong
Cheng Deng
Q. Tian
AAML
55
49
0
08 May 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement
  Learning
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang
Adam Kortylewski
Cihang Xie
Yinzhi Cao
Alan Yuille
AAML
73
109
0
12 Apr 2020
DaST: Data-free Substitute Training for Adversarial Attacks
DaST: Data-free Substitute Training for Adversarial Attacks
Mingyi Zhou
Jing Wu
Yipeng Liu
Shuaicheng Liu
Ce Zhu
71
144
0
28 Mar 2020
GeoDA: a geometric framework for black-box adversarial attacks
GeoDA: a geometric framework for black-box adversarial attacks
A. Rahmati
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
H. Dai
MLAUAAML
113
119
0
13 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
221
1,846
0
03 Mar 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural
  Gradient Descent
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
Pu Zhao
Pin-Yu Chen
Siyue Wang
Xinyu Lin
AAML
57
36
0
18 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
286
1,205
0
24 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Siddhant Bhambri
Sumanyu Muku
Avinash Tulasi
Arun Balaji Buduru
AAMLVLM
52
79
0
03 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
85
988
0
29 Nov 2019
ColorFool: Semantic Adversarial Colorization
ColorFool: Semantic Adversarial Colorization
Ali Shahin Shamsabadi
Ricardo Sánchez-Matilla
Andrea Cavallaro
AAML
63
121
0
25 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding
Black-Box Adversarial Attack with Transferable Model-based Embedding
Zhichao Huang
Tong Zhang
65
119
0
17 Nov 2019
BUZz: BUffer Zones for defending adversarial examples in image
  classification
BUZz: BUffer Zones for defending adversarial examples in image classification
Kaleel Mahmood
Phuong Ha Nguyen
Lam M. Nguyen
THANH VAN NGUYEN
Marten van Dijk
AAML
30
6
0
03 Oct 2019
Sparse and Imperceivable Adversarial Attacks
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
97
199
0
11 Sep 2019
On the Design of Black-box Adversarial Examples by Leveraging
  Gradient-free Optimization and Operator Splitting Method
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
Pu Zhao
Sijia Liu
Pin-Yu Chen
Nghia Hoang
Kaidi Xu
B. Kailkhura
Xue Lin
AAML
61
54
0
26 Jul 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
78
274
0
17 Jun 2019
Query-efficient Meta Attack to Deep Neural Networks
Query-efficient Meta Attack to Deep Neural Networks
Jiawei Du
Hu Zhang
Qiufeng Wang
Yi Yang
Jiashi Feng
AAML
52
84
0
06 Jun 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Jianbo Chen
Michael I. Jordan
Martin J. Wainwright
AAML
68
669
0
03 Apr 2019
A geometry-inspired decision-based attack
A geometry-inspired decision-based attack
Yujia Liu
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
61
54
0
26 Mar 2019
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAUAAML
163
1,200
0
23 Apr 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
230
3,194
0
01 Feb 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box
  Machine Learning Models
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel
Jonas Rauber
Matthias Bethge
AAML
67
1,350
0
12 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
130
1,410
0
08 Dec 2017
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
66
641
0
13 Sep 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
83
1,882
0
14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
310
12,117
0
19 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,230
0
20 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,023
0
07 Oct 2016
Robustness of classifiers: from adversarial to random noise
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
92
376
0
31 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
266
8,555
0
16 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILMAAML
114
1,742
0
24 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
149
3,530
0
28 Mar 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAUAAML
75
3,678
0
08 Feb 2016
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,958
0
08 Jun 2015
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSLDML
195
1,998
0
20 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,066
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
277
14,927
1
21 Dec 2013
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