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1804.08598
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Black-box Adversarial Attacks with Limited Queries and Information
International Conference on Machine Learning (ICML), 2018
23 April 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
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Papers citing
"Black-box Adversarial Attacks with Limited Queries and Information"
50 / 684 papers shown
On the Security Risks of AutoML
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Zhaohan Xi
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Xiapu Luo
Ting Wang
AAML
154
15
0
12 Oct 2021
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Xiaoxing Wang
Wenxuan Guo
Junchi Yan
Jianlin Su
Xiaokang Yang
224
33
0
10 Oct 2021
Adversarial Token Attacks on Vision Transformers
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Gauri Jagatap
Chinmay Hegde
ViT
189
22
0
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Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
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AAML
ViT
258
89
0
06 Oct 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li
Abhishek Aich
Shitong Zhu
M. Salman Asif
Chengyu Song
Amit K. Roy-Chowdhury
S. Krishnamurthy
AAML
358
47
0
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Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
Manjushree B. Aithal
Xiaohua Li
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174
6
0
30 Sep 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
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Rigel Mahmood
Ethan Rathbun
Marten van Dijk
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158
30
0
29 Sep 2021
Curvature-Aware Derivative-Free Optimization
Journal of Scientific Computing (J. Sci. Comput.), 2021
Bumsu Kim
HanQin Cai
Daniel McKenzie
W. Yin
ODL
320
14
0
27 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Zhengyi Wang
Zhongkai Hao
Ziqiao Wang
Hang Su
Jun Zhu
AAML
GNN
192
23
0
27 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
Wenzhao Xiang
Hang Su
Chang-rui Liu
Yandong Guo
Shibao Zheng
AAML
147
12
0
13 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
383
15
0
11 Sep 2021
Energy Attack: On Transferring Adversarial Examples
Ruoxi Shi
Borui Yang
Yangzhou Jiang
Chenglong Zhao
Bingbing Ni
AAML
136
2
0
09 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
281
26
0
05 Sep 2021
Recent advances for quantum classifiers
Science China Physics Mechanics and Astronomy (SCPMA), 2021
Weikang Li
D. Deng
AAML
234
100
0
30 Aug 2021
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights
Journal of Computer Virology and Hacking Techniques (JCVHT), 2021
Omid Kargarnovin
A. M. Sadeghzadeh
R. Jalili
AAML
243
13
0
27 Aug 2021
On Procedural Adversarial Noise Attack And Defense
Jun Yan
Xiaoyang Deng
Huilin Yin
Wancheng Ge
AAML
214
2
0
10 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
J. Mok
Byunggook Na
Hyeokjun Choe
Sungroh Yoon
OOD
AAML
215
52
0
03 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks
IEEE International Conference on Computer Vision (ICCV), 2021
Peng Kuang
Hengchang Guo
Zhifei Zhang
Wenxin Liu
Zhan Qin
K. Ren
AAML
319
284
0
29 Jul 2021
Adversarial training may be a double-edged sword
A. Rahmati
Seyed-Mohsen Moosavi-Dezfooli
H. Dai
AAML
80
0
0
24 Jul 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Neural Information Processing Systems (NeurIPS), 2021
Shuyu Cheng
Guoqiang Wu
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200
21
0
21 Jul 2021
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
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Nataniel Ruiz
Sarah Adel Bargal
AAML
113
0
0
19 Jul 2021
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks
Andrei-Șerban Ilie
Marius Popescu
Alin Stefanescu
AAML
168
7
0
12 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Shangyu Xie
Zheng Chen
Yu Kong
Yuan Hong
AAML
227
30
0
09 Jul 2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Daniel Park
Haidar Khan
Azer Khan
Alex Gittens
B. Yener
AAML
118
1
0
08 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients
Alessandro Cappelli
Julien Launay
Laurent Meunier
Ruben Ohana
Iacopo Poli
AAML
143
4
0
06 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving
Takami Sato
Qi Alfred Chen
AAML
ELM
224
7
0
06 Jul 2021
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning
Mathias Löwe
Jennifer Villareale
Evan Freed
Aleksanteri Sladek
Jichen Zhu
S. Risi
AAML
225
5
0
05 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
Jon Vadillo
Roberto Santana
Jose A. Lozano
SILM
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261
21
0
05 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
B. Xi
AAML
90
32
0
30 Jun 2021
The Values Encoded in Machine Learning Research
Conference on Fairness, Accountability and Transparency (FAccT), 2021
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
338
343
0
29 Jun 2021
Multi-stage Optimization based Adversarial Training
Xiaosen Wang
Chuanbiao Song
Liwei Wang
Kun He
AAML
114
5
0
26 Jun 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Sungmin Cha
Naeun Ko
Young Joon Yoo
Taesup Moon
AAML
216
2
0
22 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness
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M. Shafiee
Michelle Karg
C. Scharfenberger
Alexander Wong
AAML
89
1
0
18 Jun 2021
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning
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Shubham Jain
Ana-Maria Cretu
Yves-Alexandre de Montjoye
192
37
0
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Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
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M. Andreolini
Luca Ferretti
Mirco Marchetti
M. Colajanni
AAML
268
134
0
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Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization
C. Maheshwari
Chih-Yuan Chiu
Eric Mazumdar
S. Shankar Sastry
Lillian J. Ratliff
140
29
0
16 Jun 2021
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
International Conference on Machine Learning (ICML), 2021
Carl-Johann Simon-Gabriel
N. Sheikh
Andreas Krause
SILM
AAML
124
3
0
14 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
British Machine Vision Conference (BMVC), 2021
Utku Ozbulak
Esla Timothy Anzaku
W. D. Neve
Arnout Van Messem
AAML
335
12
0
14 Jun 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
International Conference on Machine Learning (ICML), 2021
Jiawei Zhang
Linyi Li
Huichen Li
Xiaolu Zhang
Shuang Yang
Yangqiu Song
AAML
118
18
0
10 Jun 2021
On Improving Adversarial Transferability of Vision Transformers
International Conference on Learning Representations (ICLR), 2021
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Fahad Shahbaz Khan
Fatih Porikli
ViT
253
106
0
08 Jun 2021
Adversarial Attack and Defense in Deep Ranking
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mo Zhou
Le Wang
Zhenxing Niu
Qilin Zhang
N. Zheng
G. Hua
OOD
191
18
0
07 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization
Zhuosheng Zhang
Shucheng Yu
AAML
135
2
0
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Query Attack by Multi-Identity Surrogates
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Sizhe Chen
Zhehao Huang
Qinghua Tao
Xiaolin Huang
AAML
372
6
0
31 May 2021
Feature Space Targeted Attacks by Statistic Alignment
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Lianli Gao
Yaya Cheng
Qilong Zhang
Xing Xu
Jingkuan Song
AAML
172
35
0
25 May 2021
Adversarial Examples Detection with Bayesian Neural Network
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Yao Li
Tongyi Tang
Cho-Jui Hsieh
T. C. Lee
GAN
AAML
214
3
0
18 May 2021
On the Robustness of Domain Constraints
Conference on Computer and Communications Security (CCS), 2021
Ryan Sheatsley
Blaine Hoak
Eric Pauley
Yohan Beugin
Mike Weisman
Patrick McDaniel
AAML
OOD
243
32
0
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Automated Decision-based Adversarial Attacks
Qi-An Fu
Yinpeng Dong
Hang Su
Jun Zhu
AAML
80
2
0
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Learning Image Attacks toward Vision Guided Autonomous Vehicles
Hyung-Jin Yoon
H. Jafarnejadsani
P. Voulgaris
AAML
116
3
0
09 May 2021
Scalable Projection-Free Optimization
Mingrui Zhang
268
0
0
07 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model
Ruoxi Qin
Linyuan Wang
Xing-yuan Chen
Xuehui Du
Bin Yan
AAML
123
6
0
06 May 2021
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