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1808.07713
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Adversarial Attacks on Deep-Learning Based Radio Signal Classification
23 August 2018
Meysam Sadeghi
Erik G. Larsson
AAML
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Papers citing
"Adversarial Attacks on Deep-Learning Based Radio Signal Classification"
30 / 80 papers shown
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network
B. Manoj
Meysam Sadeghi
Erik G. Larsson
AAML
133
26
0
28 Jan 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
Yi Shi
Y. Sagduyu
AAML
AI4CE
229
32
0
21 Jan 2021
Adversarial Machine Learning for 5G Communications Security
Y. Sagduyu
T. Erpek
Yi Shi
AAML
205
49
0
07 Jan 2021
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Brian Kim
Y. Sagduyu
T. Erpek
Kemal Davaslioglu
S. Ulukus
AAML
288
21
0
03 Dec 2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries
R. Sahay
Christopher G. Brinton
David J. Love
AAML
229
12
0
02 Nov 2020
Adversarial Filters for Secure Modulation Classification
A. Berian
K. Staab
N. Teku
G. Ditzler
T. Bose
Ravi Tandon
AAML
178
7
0
15 Aug 2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
Brian Kim
Y. Sagduyu
T. Erpek
Kemal Davaslioglu
S. Ulukus
AAML
229
33
0
31 Jul 2020
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Matthew DelVecchio
Bryse Flowers
William C. Headley
AAML
123
7
0
27 May 2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
123
31
0
15 May 2020
Deep Learning for Wireless Communications
T. Erpek
Tim O'Shea
Y. Sagduyu
Yi Shi
T. Clancy
249
148
0
12 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
363
144
0
11 May 2020
A light neural network for modulation detection under impairments
International Symposium on Networks, Computers and Communications (ISNCC), 2020
Thomas Courtat
Hélion Marie du Mas des Bourboux
171
8
0
27 Mar 2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
Annual Conference on Information Sciences and Systems (CISS), 2020
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
288
78
0
05 Feb 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
Y. Sagduyu
Yi Shi
T. Erpek
William C. Headley
Bryse Flowers
G. Stantchev
Zhuo Lu
AAML
183
39
0
24 Jan 2020
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
M. Kulin
Tarik Kazaz
I. Moerman
E. De Poorter
154
78
0
13 Jan 2020
Two Applications of Deep Learning in the Physical Layer of Communication Systems
Emil Björnson
Pontus Giselsson
110
45
0
10 Jan 2020
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
442
72
0
06 Nov 2019
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
IEEE Transactions on Mobile Computing (IEEE TMC), 2019
Y. Sagduyu
Yi Shi
T. Erpek
AAML
221
91
0
01 Nov 2019
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning
International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2019
Kemal Davaslioglu
Y. Sagduyu
AAML
141
66
0
23 Oct 2019
Adversarial Machine Learning Attack on Modulation Classification
UK/China Emerging Technologies (UCET), 2019
Muhammad Usama
Muhammad Asim
Junaid Qadir
Ala I. Al-Fuqaha
M. Imran
AAML
99
15
0
26 Sep 2019
Black-box Adversarial ML Attack on Modulation Classification
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
41
4
0
01 Aug 2019
IoT Network Security from the Perspective of Adversarial Deep Learning
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2019
Y. Sagduyu
Yi Shi
T. Erpek
AAML
221
83
0
31 May 2019
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
IEEE Transactions on Mobile Computing (IEEE TMC), 2019
Z. Luo
Shangqing Zhao
Zhuo Lu
Jie Xu
Y. Sagduyu
AAML
216
56
0
04 May 2019
Generative Adversarial Network for Wireless Signal Spoofing
Yi Shi
Kemal Davaslioglu
Y. Sagduyu
GAN
AAML
161
84
0
03 May 2019
Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification
Shichuan Chen
Shilian Zheng
Lifeng Yang
Xiaoniu Yang
218
66
0
20 Apr 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019
Bryse Flowers
R. M. Buehrer
William C. Headley
AAML
183
150
0
01 Mar 2019
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019
Muhammad Zaid Hameed
András Gyorgy
Deniz Gunduz
AAML
211
81
0
27 Feb 2019
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems
Meysam Sadeghi
Erik G. Larsson
AAML
97
127
0
22 Feb 2019
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training
S. Kokalj-Filipovic
Rob Miller
Nicholas Chang
Chi Leung Lau
AAML
99
42
0
16 Feb 2019
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness
S. Kokalj-Filipovic
Rob Miller
AAML
114
32
0
16 Feb 2019
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