Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1804.08598
Cited By
v1
v2
v3 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Black-box Adversarial Attacks with Limited Queries and Information"
50 / 684 papers shown
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
International Conference on Learning Representations (ICLR), 2019
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
542
245
0
24 Sep 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2019
Sekitoshi Kanai
Yasutoshi Ida
Yasuhiro Fujiwara
Masanori Yamada
S. Adachi
AAML
145
1
0
19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
International Journal of Automation and Computing (IJAC), 2019
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Shucheng Zhou
Anil K. Jain
AAML
331
728
0
17 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation
Zudi Lin
Hanspeter Pfister
Ziming Zhang
AAML
143
2
0
13 Sep 2019
Sparse and Imperceivable Adversarial Attacks
IEEE International Conference on Computer Vision (ICCV), 2019
Francesco Croce
Matthias Hein
AAML
201
221
0
11 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Computer Vision and Pattern Recognition (CVPR), 2019
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
315
199
0
10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Byunggill Joe
Sung Ju Hwang
I. Shin
AAML
83
2
0
10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Zhenxin Xiao
Puyudi Yang
Yuchen Eleanor Jiang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
196
1
0
10 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
AAML
211
34
0
06 Sep 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries
USENIX Security Symposium (USENIX Security), 2019
Fnu Suya
Jianfeng Chi
David Evans
Yuan Tian
AAML
423
94
0
19 Aug 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
Asia-Pacific Computer Systems Architecture Conference (APCSAC), 2019
Lea Schonherr
Thorsten Eisenhofer
Steffen Zeiler
Thorsten Holz
D. Kolossa
AAML
375
70
0
05 Aug 2019
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
USENIX Security Symposium (USENIX Security), 2019
Di Tang
Luyi Xing
Haixu Tang
Kehuan Zhang
AAML
199
230
0
02 Aug 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
IEEE International Conference on Computer Vision (ICCV), 2019
Pu Zhao
Sijia Liu
Pin-Yu Chen
Nghia Hoang
Kaidi Xu
B. Kailkhura
Xue Lin
AAML
364
58
0
26 Jul 2019
Stateful Detection of Black-Box Adversarial Attacks
Steven Chen
Nicholas Carlini
D. Wagner
AAML
MLAU
196
135
0
12 Jul 2019
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations
International Workshop on Metamorphic Testing (IWMT), 2019
R. Mekala
Gudjon Magnusson
Adam A. Porter
Mikael Lindvall
Madeline Diep
AAML
65
18
0
10 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
Nader Asadi
Amirm. Sarfi
Mehrdad Hosseinzadeh
Sahba Tahsini
M. Eftekhari
AAML
131
2
0
01 Jul 2019
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Yuezun Li
Xin Yang
Baoyuan Wu
Siwei Lyu
AAML
PICV
CVBM
174
42
0
21 Jun 2019
Convergence of Adversarial Training in Overparametrized Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Ruiqi Gao
Tianle Cai
Haochuan Li
Liwei Wang
Cho-Jui Hsieh
Jason D. Lee
AAML
308
114
0
19 Jun 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks
F. Assion
Peter Schlicht
Florens Greßner
W. Günther
Fabian Hüger
Nico M. Schmidt
Umair Rasheed
AAML
147
16
0
17 Jun 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Neural Information Processing Systems (NeurIPS), 2019
Shuyu Cheng
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
212
295
0
17 Jun 2019
Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
Computer Vision and Pattern Recognition (CVPR), 2019
T. Brunner
Frederik Diehl
Alois Knoll
AAML
145
8
0
14 Jun 2019
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking
Jiabao Guo
M. Potkonjak
AAML
WIGM
166
18
0
11 Jun 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Neural Information Processing Systems (NeurIPS), 2019
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
167
118
0
11 Jun 2019
Robustness Verification of Tree-based Models
Neural Information Processing Systems (NeurIPS), 2019
Hongge Chen
Huan Zhang
Si Si
Yang Li
Duane S. Boning
Cho-Jui Hsieh
AAML
223
87
0
10 Jun 2019
Attacking Graph Convolutional Networks via Rewiring
Yao Ma
Suhang Wang
Tyler Derr
Lingfei Wu
Shucheng Zhou
AAML
GNN
181
89
0
10 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
Neural Information Processing Systems (NeurIPS), 2019
Maksym Andriushchenko
Matthias Hein
206
66
0
08 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
AAAI Conference on Artificial Intelligence (AAAI), 2019
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Sai Li
AAML
173
112
0
08 Jun 2019
Making targeted black-box evasion attacks effective and efficient
Mika Juuti
B. Atli
Nadarajah Asokan
AAML
MIACV
MLAU
106
9
0
08 Jun 2019
Robust Attacks against Multiple Classifiers
Juan C. Perdomo
Yaron Singer
AAML
144
11
0
06 Jun 2019
Query-efficient Meta Attack to Deep Neural Networks
International Conference on Learning Representations (ICLR), 2019
Jiawei Du
Hu Zhang
Qiufeng Wang
Yi Yang
Jiashi Feng
AAML
201
86
0
06 Jun 2019
Enhancing Transformation-based Defenses using a Distribution Classifier
C. Kou
H. Lee
E. Chang
Teck Khim Ng
180
4
0
01 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
396
623
0
28 May 2019
Thwarting finite difference adversarial attacks with output randomization
Haidar Khan
Daniel Park
Azer Khan
B. Yener
SILM
AAML
123
0
0
23 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
IEEE Transactions on Dependable and Secure Computing (TDSC), 2019
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
372
23
0
19 May 2019
Simple Black-box Adversarial Attacks
International Conference on Machine Learning (ICML), 2019
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
346
660
0
17 May 2019
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
International Conference on Machine Learning (ICML), 2019
Seungyong Moon
Gaon An
Hyun Oh Song
AAML
MLAU
252
148
0
16 May 2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
Yunhan Jia
Yantao Lu
Senem Velipasalar
Zhenyu Zhong
Tao Wei
AAML
160
12
0
08 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
Vikash Sehwag
A. Bhagoji
Liwei Song
Chawin Sitawarin
Daniel Cullina
M. Chiang
Prateek Mittal
OODD
209
26
0
05 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
International Conference on Machine Learning (ICML), 2019
Yandong Li
Lijun Li
Liqiang Wang
Tong Zhang
Boqing Gong
AAML
263
263
0
01 May 2019
Gradient-free activation maximization for identifying effective stimuli
Will Xiao
Gabriel Kreiman
71
11
0
01 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
Computers & security (Comput. Secur.), 2019
Jinyin Chen
Mengmeng Su
Shijing Shen
Hui Xiong
Haibin Zheng
AAML
223
71
0
01 May 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
Ameya Joshi
Amitangshu Mukherjee
Soumik Sarkar
Chinmay Hegde
AAML
248
108
0
17 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models
Linxi Jiang
Jiabo He
Shaoxiang Chen
James Bailey
Yu-Gang Jiang
AAML
MLAU
227
160
0
10 Apr 2019
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong
Hang Su
Baoyuan Wu
Zhifeng Li
Wen Liu
Tong Zhang
Jun Zhu
CVBM
AAML
218
448
0
09 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Jianbo Chen
Sai Li
Martin J. Wainwright
AAML
510
757
0
03 Apr 2019
Adversarial Robustness vs Model Compression, or Both?
Shaokai Ye
Kaidi Xu
Sijia Liu
Jan-Henrik Lambrechts
Huan Zhang
Aojun Zhou
Kaisheng Ma
Yanzhi Wang
Xue Lin
AAML
296
172
0
29 Mar 2019
Adversarial Out-domain Examples for Generative Models
Dario Pasquini
Marco Mingione
M. Bernaschi
WIGM
SILM
AAML
128
6
0
07 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
Computer Vision and Pattern Recognition (CVPR), 2019
Abhimanyu Dubey
Laurens van der Maaten
Zeki Yalniz
Shouqing Yang
D. Mahajan
AAML
235
66
0
05 Mar 2019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers
Diego Gragnaniello
Francesco Marra
Giovanni Poggi
L. Verdoliva
AAML
148
32
0
20 Feb 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks
Abdullah Al-Dujaili
Una-May O’Reilly
AAML
315
22
0
19 Feb 2019
Previous
1
2
3
...
12
13
14
Next
