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Over-the-Air Adversarial Attacks on Deep Learning Based Modulation
  Classifier over Wireless Channels
v1v2 (latest)

Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

Annual Conference on Information Sciences and Systems (CISS), 2020
5 February 2020
Brian Kim
Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
    AAML
ArXiv (abs)PDFHTML

Papers citing "Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels"

29 / 29 papers shown
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning
  based Modulation Classification
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
Deepsayan Sadhukhan
N. Shankar
Sheetal Kalyani
AAML
262
0
0
17 Sep 2024
Data-Driven Subsampling in the Presence of an Adversarial Actor
Data-Driven Subsampling in the Presence of an Adversarial Actor
Abu Shafin Mohammad Mahdee Jameel
Ahmed P. Mohamed
Jinho Yi
Aly El Gamal
Akshay Malhotra
159
0
0
07 Jan 2024
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information
  Recovery
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information RecoveryIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Jinyin Chen
Jie Ge
Shilian Zheng
Linhui Ye
Haibin Zheng
Weiguo Shen
Keqiang Yue
Xiaoniu Yang
AAML
231
3
0
17 Aug 2023
Adversarial Machine Learning and Defense Game for NextG Signal
  Classification with Deep Learning
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep LearningIEEE Military Communications Conference (MILCOM), 2022
Y. Sagduyu
AAML
125
2
0
22 Dec 2022
Adversarial Attack on Radar-based Environment Perception Systems
Adversarial Attack on Radar-based Environment Perception Systems
Amira Guesmi
Ihsen Alouani
AAML
237
3
0
02 Nov 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial
  Examples
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial ExamplesIEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Giovanni Apruzzese
Rodion Vladimirov
A.T. Tastemirova
Pavel Laskov
AAML
271
22
0
04 Jul 2022
Mixture GAN For Modulation Classification Resiliency Against Adversarial
  Attacks
Mixture GAN For Modulation Classification Resiliency Against Adversarial AttacksGlobal Communications Conference (GLOBECOM), 2022
Eyad Shtaiwi
Ahmed El Ouadrhiri
Majid Moradikia
Salma Sultana
Ahmed M Abdelhadi
Zhu Han
AAMLGAN
140
15
0
29 May 2022
RF Signal Transformation and Classification using Deep Neural Networks
RF Signal Transformation and Classification using Deep Neural Networks
Umar Khalid
Nazmul Karim
Nazanin Rahnavard
252
5
0
06 Apr 2022
Low-Interception Waveform: To Prevent the Recognition of Spectrum
  Waveform Modulation via Adversarial Examples
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial ExamplesURSI General Assembly and Scientific Symposium (URSI GASS), 2021
Haidong Xie
Jia Tan
Xiaoying Zhang
Nan Ji
Haihua Liao
Zuguo Yu
Xueshuang Xiang
Naijin Liu
AAML
224
2
0
20 Jan 2022
Jamming Attacks on Federated Learning in Wireless Networks
Jamming Attacks on Federated Learning in Wireless Networks
Yi Shi
Y. Sagduyu
232
15
0
13 Jan 2022
Covert Communications via Adversarial Machine Learning and
  Reconfigurable Intelligent Surfaces
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent SurfacesIEEE Wireless Communications and Networking Conference (WCNC), 2021
Brian Kim
T. Erpek
Y. Sagduyu
S. Ulukus
AAML
199
18
0
21 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
346
29
0
16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers
  with Deep Learning
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2021
Yi Shi
Y. Sagduyu
189
23
0
22 Jul 2021
Gradient-based Adversarial Deep Modulation Classification with
  Data-driven Subsampling
Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling
Jinho Yi
Aly El Gamal
AAML
125
4
0
03 Apr 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G
  and Beyond
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and BeyondSymposium on Software Performance (SP), 2021
Brian Kim
Y. Sagduyu
T. Erpek
S. Ulukus
AAML
212
28
0
25 Mar 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication
  Systems
Robust Adversarial Attacks Against DNN-Based Wireless Communication SystemsConference on Computer and Communications Security (CCS), 2021
Alireza Bahramali
Milad Nasr
Amir Houmansadr
Dennis Goeckel
Don Towsley
AAML
210
79
0
01 Feb 2021
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive
  MIMO Network
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network
B. Manoj
Meysam Sadeghi
Erik G. Larsson
AAML
175
26
0
28 Jan 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
AAMLAI4CE
255
32
0
21 Jan 2021
Adversarial Machine Learning for 5G Communications Security
Adversarial Machine Learning for 5G Communications Security
Y. Sagduyu
T. Erpek
Yi Shi
AAML
261
50
0
07 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 SurveyIEEE Communications Surveys and Tutorials (COMST), 2021
Hossein Pirayesh
Huacheng Zeng
AAML
218
487
0
01 Jan 2021
Channel Effects on Surrogate Models of Adversarial Attacks against
  Wireless Signal Classifiers
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Brian Kim
Y. Sagduyu
T. Erpek
Kemal Davaslioglu
S. Ulukus
AAML
323
21
0
03 Dec 2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based
  Modulation Classifiers
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
Brian Kim
Y. Sagduyu
T. Erpek
Kemal Davaslioglu
S. Ulukus
AAML
240
33
0
31 Jul 2020
Effects of Forward Error Correction on Communications Aware Evasion
  Attacks
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Matthew DelVecchio
Bryse Flowers
William C. Headley
AAML
139
7
0
27 May 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
138
31
0
15 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
421
150
0
11 May 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
199
39
0
24 Jan 2020
The Threat of Adversarial Attacks on Machine Learning in Network
  Security -- A Survey
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
487
74
0
06 Nov 2019
When Attackers Meet AI: Learning-empowered Attacks in Cooperative
  Spectrum Sensing
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum SensingIEEE Transactions on Mobile Computing (IEEE TMC), 2019
Z. Luo
Shangqing Zhao
Zhuo Lu
Jie Xu
Y. Sagduyu
AAML
301
57
0
04 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 DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019
Muhammad Zaid Hameed
András Gyorgy
Deniz Gunduz
AAML
232
83
0
27 Feb 2019
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