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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
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Cristian Canton Ferrer
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243
22
0
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Gradient Starvation: A Learning Proclivity in Neural Networks
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Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
532
308
0
18 Nov 2020
Adversarial Turing Patterns from Cellular Automata
AAAI Conference on Artificial Intelligence (AAAI), 2020
Nurislam Tursynbek
I. Vilkoviskiy
Maria Sindeeva
Ivan Oseledets
AAML
190
4
0
18 Nov 2020
Self-Gradient Networks
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M. Shafiee
AAML
168
0
0
18 Nov 2020
Do Fine-tuned Commonsense Language Models Really Generalize?
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Ke Shen
ELM
LRM
136
10
0
18 Nov 2020
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks
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Hitoshi Kiya
FedML
149
1
0
16 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation
Li-xin Yuan
Will Xiao
Giorgia Dellaferrera
Gabriel Kreiman
Francis E. H. Tay
Jiashi Feng
Margaret Livingstone
AAML
319
1
0
11 Nov 2020
A survey on practical adversarial examples for malware classifiers
Daniel Park
B. Yener
AAML
226
17
0
06 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
259
56
0
05 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems
Rami Cohen
Oren Sar Shalom
Dietmar Jannach
A. Amir
153
31
0
05 Nov 2020
Adversarial Examples in Constrained Domains
Ryan Sheatsley
Nicolas Papernot
Mike Weisman
Gunjan Verma
Patrick McDaniel
AAML
272
26
0
02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms
Rui Zhao
AAML
142
1
0
02 Nov 2020
Integer Programming-based Error-Correcting Output Code Design for Robust Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Samarth Gupta
Saurabh Amin
98
4
0
30 Oct 2020
Deep Neural Mobile Networking
Chaoyun Zhang
205
2
0
23 Oct 2020
Adversarial Attacks on Binary Image Recognition Systems
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Harrison W. Chase
Kojin Oshiba
Alexander Rilee
Yaron Singer
Richard Wang
AAML
172
4
0
22 Oct 2020
An Efficient Adversarial Attack for Tree Ensembles
Chong Zhang
Huan Zhang
Cho-Jui Hsieh
AAML
154
26
0
22 Oct 2020
Defense-guided Transferable Adversarial Attacks
Zifei Zhang
Kai Qiao
Jian Chen
Ningning Liang
AAML
126
0
0
22 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Neural Information Processing Systems (NeurIPS), 2020
Jiancheng Yang
Yangzhou Jiang
Xiaoyang Huang
Bingbing Ni
Chenglong Zhao
AAML
220
88
0
21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Proceedings of the IEEE (Proc. IEEE), 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
368
50
0
19 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
213
39
0
09 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
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Satya Narayan Shukla
J. Zico Kolter
AAML
149
1
0
08 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
396
108
0
08 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi
Gilles Barthe
Bernhard Schölkopf
Isabel Valera
FaML
358
185
0
08 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness?
Neural Information Processing Systems (NeurIPS), 2020
Boxi Wu
Jinghui Chen
Deng Cai
Xiaofei He
Quanquan Gu
AAML
408
105
0
03 Oct 2020
Efficient Robust Training via Backward Smoothing
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jinghui Chen
Yu Cheng
Zhe Gan
Quanquan Gu
Jingjing Liu
AAML
198
44
0
03 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search
Zhichao Huang
Yaowei Huang
Tong Zhang
AAML
161
8
0
03 Oct 2020
Query complexity of adversarial attacks
International Conference on Machine Learning (ICML), 2020
Grzegorz Gluch
R. Urbanke
AAML
210
8
0
02 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Maungmaung Aprilpyone
Hitoshi Kiya
144
58
0
02 Oct 2020
Bag of Tricks for Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
369
274
0
01 Oct 2020
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability
Ishai Rosenberg
Shai Meir
J. Berrebi
I. Gordon
Guillaume Sicard
Eli David
AAML
SILM
159
30
0
28 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence
Chang Liao
Yao Cheng
Chengfang Fang
Jie Shi
158
1
0
28 Sep 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Liang Gou
Lincan Zou
Nanxiang Li
M. Hofmann
A. Shekar
A. Wendt
Liu Ren
301
66
0
27 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack
European Conference on Computer Vision (ECCV), 2020
Yang Bai
Yuyuan Zeng
Yong Jiang
Yisen Wang
Shutao Xia
Weiwei Guo
AAML
MLAU
231
57
0
24 Sep 2020
Adversarial Rain Attack and Defensive Deraining for DNN Perception
Liming Zhai
Felix Juefei Xu
Qing Guo
Xiaofei Xie
Lei Ma
Weiiia Feng
Shengchao Qin
Yang Liu
AAML
233
18
0
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EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
ACM Transactions on Privacy and Security (TOPS), 2020
Yaguan Qian
Qiqi Shao
Jiamin Wang
Xiangyuan Lin
Yankai Guo
Zhaoquan Gu
Bin Wang
Chunming Wu
AAML
310
27
0
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Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
IEEE Robotics and Automation Letters (RA-L), 2020
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
AAML
287
120
0
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Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks
Chen Ma
Shuyu Cheng
Li Chen
Jun Zhu
Junhai Yong
AAML
130
7
0
15 Sep 2020
Decision-based Universal Adversarial Attack
Jing Wu
Mingyi Zhou
Shuaicheng Liu
Yipeng Liu
Ce Zhu
AAML
184
13
0
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A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
Neural Information Processing Systems (NeurIPS), 2020
Ambar Pal
René Vidal
AAML
208
30
0
14 Sep 2020
Towards the Quantification of Safety Risks in Deep Neural Networks
Peipei Xu
Wenjie Ruan
Xiaowei Huang
166
7
0
13 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
ACM Computing Surveys (ACM CSUR), 2020
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
256
183
0
08 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
Danilo Vasconcellos Vargas
Bingli Liao
Takahiro Kanzaki
AAML
153
3
0
02 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
Lixing Chen
Junhai Yong
MLAU
OOD
159
17
0
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Adversarial Eigen Attack on Black-Box Models
Computer Vision and Pattern Recognition (CVPR), 2020
Linjun Zhou
Peng Cui
Yinan Jiang
Shiqiang Yang
AAML
131
17
0
27 Aug 2020
Adversarially Training for Audio Classifiers
International Conference on Pattern Recognition (ICPR), 2020
Raymel Alfonso Sallo
Mohammad Esmaeilpour
P. Cardinal
AAML
108
8
0
26 Aug 2020
Yet Another Intermediate-Level Attack
Qizhang Li
Yiwen Guo
Hao Chen
AAML
214
57
0
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CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
Shengnan Hu
Yang Zhang
Sumit Laha
A. Sharma
H. Foroosh
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86
8
0
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Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
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Scott E. Coull
Battista Biggio
Giovanni Lagorio
A. Armando
Fabio Roli
AAML
256
66
0
17 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
420
80
0
07 Aug 2020
Black-box Adversarial Sample Generation Based on Differential Evolution
Journal of Systems and Software (JSS), 2020
Junyu Lin
Lei Xu
Yingqi Liu
Xinming Zhang
AAML
128
36
0
30 Jul 2020
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