Multi-Objective GAN-Based Adversarial Attack Technique for Modulation Classifiers
Author:
Affiliation:
1. Electrical Engineering Department, École de Technologie Supérieure (ÉTS), University of Quebec, Montreal, QC, Canada
2. Ericsson GAIA Montreal, Montreal, QC, Canada
Funder
Mitacs
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9826535/09756577.pdf?arnumber=9756577
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4. Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention;IEEE Transactions on Network and Service Management;2023-12
5. Defending Wireless Receivers Against Adversarial Attacks on Modulation Classifiers;IEEE Internet of Things Journal;2023-11-01
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