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Deep Learning for Launching and Mitigating Wireless Jamming Attacks

Deep Learning for Launching and Mitigating Wireless Jamming Attacks

3 July 2018
T. Erpek
Y. Sagduyu
Yi Shi
    AAML
ArXivPDFHTML

Papers citing "Deep Learning for Launching and Mitigating Wireless Jamming Attacks"

28 / 28 papers shown
Title
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for
  NextG Spectrum Sharing
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing
Yi Shi
Y. Sagduyu
33
1
0
27 Dec 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
43
15
0
04 Jul 2022
Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional
  Interference Cancellation Network
Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network
H. N. Nguyen
G. Noubir
19
1
0
18 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
24
34
0
09 Mar 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Juncheng Dong
Suya Wu
Mohammadreza Soltani
Vahid Tarokh
AAML
46
3
0
22 Jan 2022
End-to-End Autoencoder Communications with Optimized Interference
  Suppression
End-to-End Autoencoder Communications with Optimized Interference Suppression
Kemal Davaslioglu
T. Erpek
Y. Sagduyu
44
4
0
29 Dec 2021
Adversarial Attacks against Deep Learning Based Power Control in
  Wireless Communications
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
Brian Kim
Yi Shi
Y. Sagduyu
T. Erpek
S. Ulukus
AAML
30
27
0
16 Sep 2021
Security and privacy for 6G: A survey on prospective technologies and
  challenges
Security and privacy for 6G: A survey on prospective technologies and challenges
V. Nguyen
Po-Ching Lin
Bo-Chao Cheng
Ren-Hung Hwang
Ying-Dar Lin
AILaw
35
283
0
26 Aug 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers
  with Deep Learning
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
Yi Shi
Y. Sagduyu
24
16
0
22 Jul 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive
  Survey & Evaluation
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan
P. Moshiri
M. Nabati
Reza Shahbazian
S. Ghorashi
V. Shah-Mansouri
David Windridge
15
84
0
10 May 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access
  Network Slicing
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
Yi Shi
Y. Sagduyu
AAML
AI4CE
41
30
0
21 Jan 2021
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G
  mmWave Networks
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
Tarun S. Cousik
Vijay K. Shah
T. Erpek
Y. Sagduyu
Jeffrey H. Reed
26
23
0
06 Jan 2021
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A
  Comprehensive Survey
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
Hossein Pirayesh
Huacheng Zeng
AAML
47
319
0
01 Jan 2021
Smart Jamming Attacks in 5G New Radio: A Review
Smart Jamming Attacks in 5G New Radio: A Review
Youness Arjoune
S. Faruque
16
80
0
11 Sep 2020
Adversarial Filters for Secure Modulation Classification
Adversarial Filters for Secure Modulation Classification
A. Berian
K. Staab
N. Teku
G. Ditzler
T. Bose
Ravi Tandon
AAML
19
7
0
15 Aug 2020
Adversarial jamming attacks and defense strategies via adaptive deep
  reinforcement learning
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
Feng Wang
Chen Zhong
M. C. Gursoy
Senem Velipasalar
AAML
23
8
0
12 Jul 2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning
  for Wireless Privacy
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
17
29
0
15 May 2020
Deep Learning for Wireless Communications
Deep Learning for Wireless Communications
T. Erpek
Tim O'Shea
Y. Sagduyu
Yi Shi
T. Clancy
36
135
0
12 May 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
23
111
0
11 May 2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation
  Classifier over Wireless Channels
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
AAML
51
68
0
05 Feb 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges,
  and Research Directions
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
20
39
0
24 Jan 2020
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
Y. Sagduyu
Yi Shi
T. Erpek
AAML
33
83
0
01 Nov 2019
DeepWiFi: Cognitive WiFi with Deep Learning
DeepWiFi: Cognitive WiFi with Deep Learning
Kemal Davaslioglu
S. Soltani
T. Erpek
Y. Sagduyu
21
45
0
29 Oct 2019
Real-Time and Embedded Deep Learning on FPGA for RF Signal
  Classification
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
S. Soltani
Y. Sagduyu
Raqibul Hasan
Kemal Davaslioglu
Hongmei Deng
T. Erpek
28
31
0
13 Oct 2019
Generative Adversarial Network for Wireless Signal Spoofing
Generative Adversarial Network for Wireless Signal Spoofing
Yi Shi
Kemal Davaslioglu
Y. Sagduyu
GAN
AAML
25
78
0
03 May 2019
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid
  Modulation Detection
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
Muhammad Zaid Hameed
András Gyorgy
Deniz Gunduz
AAML
21
72
0
27 Feb 2019
Active Deep Learning Attacks under Strict Rate Limitations for Online
  API Calls
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls
Guofu Li
Y. Sagduyu
Kemal Davaslioglu
Jason H. Li
AAML
13
31
0
05 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
368
5,849
0
08 Jul 2016
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