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2303.06302
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Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
11 March 2023
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
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Papers citing
"Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey"
49 / 49 papers shown
Title
Are Gradients on Graph Structure Reliable in Gray-box Attacks?
Zihan Liu
Yun Luo
Lirong Wu
Siyuan Li
Zicheng Liu
Stan Z. Li
AAML
54
23
0
07 Aug 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau
Roy Ganz
Bahjat Kawar
Alex M. Bronstein
Michael Elad
AAML
DiffM
68
26
0
17 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAML
MDE
39
83
0
11 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Giovanni Apruzzese
Rodion Vladimirov
A.T. Tastemirova
Pavel Laskov
AAML
71
16
0
04 Jul 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
93
73
0
26 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
Yinpeng Dong
Shuyu Cheng
Tianyu Pang
Hang Su
Jun Zhu
AAML
53
58
0
13 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
69
104
0
10 Mar 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation
Gang Li
Xiang Li
Yujie Wang
Shanshan Zhang
Yichao Wu
Ding Liang
ObjD
43
80
0
09 Dec 2021
Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System
P. M. Santos
M. I. B. R. Manoj
Member Ieee Meysam Sadeghi
F. I. Erik G. Larsson
AAML
17
14
0
10 Oct 2021
Demystifying the Transferability of Adversarial Attacks in Computer Networks
Ehsan Nowroozi
Yassine Mekdad
Mohammad Hajian Berenjestanaki
Mauro Conti
Abdeslam El Fergougui
AAML
59
33
0
09 Oct 2021
Robustness and Generalization via Generative Adversarial Training
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge Belongie
SerNam Lim
OOD
AAML
53
26
0
06 Sep 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan
YueFeng Chen
Dantong Niu
Yun Yang
•. A. K. Qin
Yuan He
AAML
48
91
0
20 Aug 2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen
Peixi Peng
Li Ma
Jia Li
Lin Du
Yonghong Tian
AAML
OOD
57
95
0
19 Aug 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
OOD
48
86
0
28 Jul 2021
Activated Gradients for Deep Neural Networks
Mei Liu
Liangming Chen
Xiaohao Du
Long Jin
Mingsheng Shang
ODL
AI4CE
47
141
0
09 Jul 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
E. Lobacheva
M. Kodryan
Nadezhda Chirkova
A. Malinin
Dmitry Vetrov
71
26
0
29 Jun 2021
Adversarial Attacks on Deep Models for Financial Transaction Records
I. Fursov
Matvey Morozov
N. Kaploukhaya
Elizaveta Kovtun
Rodrigo Rivera-Castro
Gleb Gusev
Dmitrii Babaev
Ivan Kireev
Alexey Zaytsev
Evgeny Burnaev
AAML
57
38
0
15 Jun 2021
Adaptive Adversarial Training for Meta Reinforcement Learning
Shiqi Chen
Zhengyu Chen
Donglin Wang
53
6
0
27 Apr 2021
Removing Adversarial Noise in Class Activation Feature Space
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
AAML
47
29
0
19 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World
Xingxing Wei
Yingjie Guo
Jie Yu
AAML
73
121
0
14 Apr 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
Shuai Jia
Yibing Song
Chao Ma
Xiaokang Yang
AAML
74
48
0
27 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
VLM
AAML
32
53
0
22 Mar 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan
Xiaofeng Mao
•. A. K. Qin
Yun Yang
YueFeng Chen
Shaokai Ye
Yuan He
AAML
41
139
0
11 Mar 2021
Group-wise Inhibition based Feature Regularization for Robust Classification
Haozhe Liu
Haoqian Wu
Weicheng Xie
Feng Liu
Linlin Shen
OOD
46
16
0
03 Mar 2021
Random Projections for Improved Adversarial Robustness
Ginevra Carbone
G. Sanguinetti
Luca Bortolussi
AAML
44
2
0
18 Feb 2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification
Mingu Kang
T. Tran
Seungju Cho
Daeyoung Kim
AAML
38
3
0
15 Feb 2021
Robust Deep Learning Ensemble against Deception
Wenqi Wei
Ling Liu
AAML
47
29
0
14 Sep 2020
Adversarial Attack on Large Scale Graph
Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
AAML
55
67
0
08 Sep 2020
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces
Chaofei Yang
Lei Ding
Yiran Chen
H. Li
AAML
49
46
0
12 Jun 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
52
112
0
11 May 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Eric Wallace
Mitchell Stern
D. Song
AAML
68
123
0
30 Apr 2020
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading
Micah Goldblum
Avi Schwarzschild
Ankit B. Patel
Tom Goldstein
AAML
21
28
0
21 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
53
105
0
16 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples
Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
A. Prakash
AAML
53
108
0
27 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
75
987
0
29 Nov 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang
Jianyu Wang
AAML
59
230
0
24 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
604
4,766
0
13 May 2019
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Christian Etmann
Sebastian Lunz
Peter Maass
Carola-Bibiane Schönlieb
AAML
FAtt
58
161
0
10 May 2019
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
333
6,737
0
06 May 2019
Self-Driving Cars: A Survey
C. Badue
Rânik Guidolini
Raphael V. Carneiro
Pedro Azevedo
Vinicius B. Cardoso
...
T. M. Paixão
Filipe Wall Mutz
Lucas Veronese
Thiago Oliveira-Santos
Alberto F. de Souza
LRM
103
946
0
14 Jan 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu
Qi Liu
Tao Liu
Nuo Xu
Xue Lin
Yanzhi Wang
Wujie Wen
AAML
MQ
47
262
0
14 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
199
3,180
0
01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
281
12,029
0
19 Jun 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,138
0
04 Nov 2016
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
130
2,525
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
241
8,548
0
16 Aug 2016
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
69
424
0
24 May 2016
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
251
14,912
1
21 Dec 2013
Manifold estimation and singular deconvolution under Hausdorff loss
Christopher R. Genovese
M. Perone-Pacifico
I. Verdinelli
Larry A. Wasserman
UQCV
65
101
0
21 Sep 2011
1