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2203.04405
Cited By
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
7 March 2022
P. Williams
Ke Li
AAML
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Papers citing
"Art-Attack: Black-Box Adversarial Attack via Evolutionary Art"
42 / 42 papers shown
Title
Interpretability in deep learning for finance: a case study for the Heston model
D. Brigo
Xiaoshan Huang
A. Pallavicini
Haitz Sáez de Ocáriz Borde
FAtt
32
9
0
19 Apr 2021
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
X. Shan
Ke Li
39
20
0
10 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
128
493
0
02 Feb 2021
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce
Maksym Andriushchenko
Naman D. Singh
Nicolas Flammarion
Matthias Hein
83
101
0
23 Jun 2020
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
Geoffrey Pruvost
B. Derbel
A. Liefooghe
Ke Li
Qingfu Zhang
19
13
0
15 Apr 2020
Adversarial Examples for Models of Code
Noam Yefet
Uri Alon
Eran Yahav
SILM
AAML
MLAU
78
166
0
15 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
Laurent Meunier
Cen Chen
Li Wang
MLAU
AAML
118
40
0
05 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization
Satya Narayan Shukla
Anit Kumar Sahu
Devin Willmott
J. Zico Kolter
AAML
MLAU
49
31
0
30 Sep 2019
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
Ke Li
Minhui Liao
Kalyanmoy Deb
Geyong Min
Xin Yao
50
58
0
30 Sep 2019
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Ran Wang
Suhe Ye
Ke Li
Sam Kwong
42
50
0
06 Aug 2019
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
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
62
111
0
11 Jun 2019
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
62
579
0
17 May 2019
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons
Huiru Gao
Haifeng Nie
Ke Li
37
37
0
05 Mar 2019
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
Ke Li
Zilin Xiang
Kay Chen Tan
39
28
0
30 Jan 2019
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
T. Brunner
Frederik Diehl
Michael Truong-Le
Alois Knoll
MLAU
AAML
75
116
0
24 Dec 2018
Low Frequency Adversarial Perturbation
Chuan Guo
Jared S. Frank
Kilian Q. Weinberger
AAML
63
166
0
24 Sep 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Minhao Cheng
Thong Le
Pin-Yu Chen
Jinfeng Yi
Huan Zhang
Cho-Jui Hsieh
AAML
103
348
0
12 Jul 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Chun-Chen Tu
Pai-Shun Ting
Pin-Yu Chen
Sijia Liu
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Shin-Ming Cheng
MLAU
AAML
84
398
0
30 May 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
M. Alzantot
Yash Sharma
Supriyo Chakraborty
Huan Zhang
Cho-Jui Hsieh
Mani B. Srivastava
AAML
77
258
0
28 May 2018
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
163
1,204
0
23 Apr 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
160
606
0
15 Feb 2018
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions
Ke Li
Renzhi Chen
D. Savić
Xin Yao
47
56
0
02 Jan 2018
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
Attacking the Madry Defense Model with
L
1
L_1
L
1
-based Adversarial Examples
Yash Sharma
Pin-Yu Chen
88
118
0
30 Oct 2017
One pixel attack for fooling deep neural networks
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
127
2,327
0
24 Oct 2017
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
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
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
310
12,117
0
19 Jun 2017
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu
Ying Tan
44
150
0
23 May 2017
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
Mengyuan Wu
Ke Li
Sam Kwong
Qingfu Zhang
42
105
0
07 Apr 2017
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Renzhi Chen
Ke Li
Xin Yao
46
172
0
23 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
266
8,579
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
545
5,909
0
08 Jul 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILM
AAML
114
1,742
0
24 May 2016
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,175
0
25 Apr 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,681
0
21 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
280
19,107
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,479
0
04 Sep 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
277
14,961
1
21 Dec 2013
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
294
6,283
0
16 Dec 2013
1