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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
Re-assign community
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Papers citing
"Black-box Adversarial Attacks with Limited Queries and Information"
50 / 684 papers shown
Adversarial Scratches: Deployable Attacks to CNN Classifiers
Pattern Recognition (Pattern Recogn.), 2022
Loris Giulivi
Malhar Jere
Loris Rossi
F. Koushanfar
Gabriela F. Cretu-Ciocarlie
Briland Hitaj
Giacomo Boracchi
AAML
232
23
0
20 Apr 2022
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
The Web Conference (WWW), 2022
Xunguang Wang
Yinqun Lin
Xuelong Li
AAML
GAN
316
10
0
18 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Yuhao Mao
Chong Fu
Sai-gang Wang
S. Ji
Xuhong Zhang
Zhenguang Liu
Junfeng Zhou
A. Liu
Jiliang Li
Ting Wang
AAML
197
22
0
07 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack
Computer Vision and Pattern Recognition (CVPR), 2022
Wenxuan Wang
Xuelin Qian
Yanwei Fu
Xiangyang Xue
OOD
AAML
123
22
0
03 Apr 2022
Scalable Whitebox Attacks on Tree-based Models
Giuseppe Castiglione
G. Ding
Masoud Hashemi
C. Srinivasa
Ga Wu
AAML
166
3
0
31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Computer Vision and Pattern Recognition (CVPR), 2022
Jianping Zhang
Weibin Wu
Shu Yang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
408
166
0
31 Mar 2022
Investigating Top-
k
k
k
White-Box and Transferable Black-box Attack
Computer Vision and Pattern Recognition (CVPR), 2022
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
228
54
0
30 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Yu Cao
Xi Xiao
Ruoxi Sun
Derui Wang
Minhui Xue
Sheng Wen
AAML
519
29
0
30 Mar 2022
Boosting Black-Box Adversarial Attacks with Meta Learning
Cybersecurity and Cyberforensics Conference (CC), 2022
Junjie Fu
Jian Sun
Chongqing
AAML
110
4
0
28 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
International Conference on Learning Representations (ICLR), 2022
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
316
39
0
27 Mar 2022
Origins of Low-dimensional Adversarial Perturbations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Elvis Dohmatob
Chuan Guo
Morgane Goibert
AAML
199
4
0
25 Mar 2022
An Intermediate-level Attack Framework on The Basis of Linear Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yiwen Guo
Qizhang Li
W. Zuo
Hao Chen
229
14
0
21 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition
Lida Li
Shuai Li
Kun Wang
Xiangchu Feng
Lei Zhang
101
1
0
18 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
International Conference on Learning Representations (ICLR), 2022
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
230
32
0
16 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
International Conference on Learning Representations (ICLR), 2022
Y. Fu
Shunyao Zhang
Shan-Hung Wu
Cheng Wan
Yingyan Lin
AAML
413
82
0
16 Mar 2022
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN
B. Zolbayar
Ryan Sheatsley
Patrick McDaniel
Mike Weisman
Sencun Zhu
Shitong Zhu
S. Krishnamurthy
GAN
AAML
157
24
0
13 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yinpeng Dong
Shuyu Cheng
Tianyu Pang
Hang Su
Jun Zhu
AAML
149
67
0
13 Mar 2022
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
Computer Vision and Pattern Recognition (CVPR), 2022
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
AAML
305
183
0
08 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
P. Williams
Ke Li
AAML
138
2
0
07 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Mo Zhou
Vishal M. Patel
AAML
201
19
0
02 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Computers & security (Comput. Secur.), 2022
Aqib Rashid
Jose Such
AAML
446
10
0
15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
381
22
0
15 Feb 2022
EREBA: Black-box Energy Testing of Adaptive Neural Networks
International Conference on Software Engineering (ICSE), 2022
Mirazul Haque
Yaswanth Yadlapalli
Wei Yang
Cong Liu
AAML
154
14
0
12 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Zesheng Chen
AAML
149
11
0
11 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
International Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
338
2
0
07 Feb 2022
Pixle: a fast and effective black-box attack based on rearranging pixels
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Jary Pomponi
Simone Scardapane
A. Uncini
AAML
160
46
0
04 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
International Conference on Learning Representations (ICLR), 2022
Weiqi Peng
Jinghui Chen
AAML
131
5
0
03 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
International Conference on Learning Representations (ICLR), 2022
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
319
15
0
31 Jan 2022
Boundary Defense Against Black-box Adversarial Attacks
International Conference on Pattern Recognition (ICPR), 2022
Manjushree B. Aithal
Xiaohua Li
AAML
167
7
0
31 Jan 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Chi Hong
Jiyue Huang
L. Chen
186
2
0
31 Jan 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
IEEE International Conference on Computer Vision (ICCV), 2021
Yaning Tan
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
AAML
285
91
0
22 Jan 2022
Black-box Prompt Learning for Pre-trained Language Models
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLM
AAML
290
83
0
21 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
ACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
298
33
0
12 Jan 2022
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu
Zenan Li
Runzhong Wang
Qibing Ren
Junchi Yan
Yunbo Wang
AAML
171
0
0
28 Dec 2021
Adaptive Modeling Against Adversarial Attacks
Zhiwen Yan
Teck Khim Ng
AAML
125
0
0
23 Dec 2021
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis
Carey Shenkman
Dhanaraj Thakur
Emma Llansó
123
11
0
15 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
258
76
0
13 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Muchao Ye
Junyu Luo
Guanjie Zheng
Cao Xiao
Ting Wang
Fenglong Ma
AAML
100
4
0
11 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
198
11
0
10 Dec 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
Junjie Hu
Mohammadreza Ebrahimi
Hsinchun Chen
AAML
121
13
0
03 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
193
23
0
01 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness
Xinru Hua
Huanzhong Xu
Jose H. Blanchet
V. Nguyen
AAML
167
4
0
30 Nov 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
European Conference on Computer Vision (ECCV), 2021
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
310
34
0
27 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods
Yao Li
Minhao Cheng
Cho-Jui Hsieh
T. C. Lee
AAML
198
89
0
18 Nov 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Neural Information Processing Systems (NeurIPS), 2021
Chen Ma
Xiangyu Guo
Li Chen
Junhai Yong
Yisen Wang
AAML
355
18
0
15 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Neural Information Processing Systems (NeurIPS), 2021
Maksym Yatsura
J. H. Metzen
Matthias Hein
OOD
413
15
0
02 Nov 2021
Attacking Video Recognition Models with Bullet-Screen Comments
AAAI Conference on Artificial Intelligence (AAAI), 2021
Kai-xiang Chen
Zhipeng Wei
Yue Yu
Zuxuan Wu
Yu-Gang Jiang
AAML
227
26
0
29 Oct 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu
Qixuan Yu
Yang Zhang
Shan-Hung Wu
Ouyang Xu
David D. Cox
Yingyan Lin
AAML
OOD
466
36
0
26 Oct 2021
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Zhipeng Wei
Yue Yu
Zuxuan Wu
Yu-Gang Jiang
AAML
304
45
0
18 Oct 2021
Adversarial Attack across Datasets
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Lihong Cao
Cho-Jui Hsieh
AAML
293
4
0
13 Oct 2021
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