How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
Author:
Affiliation:
1. Elmore Family School of Electrical and Computer Engineering, Purdue University
Funder
Office of Naval Research
DARPA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279348.pdf?arnumber=10279348
Reference20 articles.
1. A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification
2. Robust Automatic Modulation Classification in the Presence of Adversarial Attacks
3. A Taxonomy of Attacks on Federated Learning
4. Overfitting in adversarially robust deep learning;rice;Int Conference on Machine Learning,0
5. Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
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