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Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey

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
ArXivPDFHTML

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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Robust Deep Learning Ensemble against Deception
Wenqi Wei
Ling Liu
AAML
47
29
0
14 Sep 2020
Adversarial Attack on Large Scale Graph
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,138
0
04 Nov 2016
Universal adversarial perturbations
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
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
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
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
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
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