Evaluating Adversarial Evasion Attacks in the Context of Wireless
Communications

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

1 March 2019

William C. Headley

Papers citing "Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications"

18 / 18 papers shown

Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 231 0 0 20 Apr 2025
Maximum Likelihood Distillation for Robust Modulation Classification Javier Maroto Gérôme Bovet P. Frossard AAML 23 5 0 01 Nov 2022
Universal Fourier Attack for Time Series Elizabeth Coda B. Clymer Chance N. DeSmet Y. Watkins Michael Girard 28 1 0 02 Sep 2022
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
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 25 27 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 24 16 0 22 Jul 2021
On the benefits of robust models in modulation recognition Javier Maroto Gérôme Bovet P. Frossard AAML 29 4 0 27 Mar 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 45 53 0 01 Feb 2021
Defending Distributed Classifiers Against Data Poisoning Attacks Sandamal Weerasinghe T. Alpcan S. Erfani C. Leckie AAML 18 3 0 21 Aug 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 34 135 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 23 111 0 11 May 2020
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 48 68 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 20 39 0 24 Jan 2020
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 30 83 0 01 Nov 2019
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 Muhammad Zaid Hameed András Gyorgy Deniz Gunduz AAML 21 72 0 27 Feb 2019
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,177 0 02 Feb 2017