Name
Title | ||
|---|---|---|
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification |
Abstract | ||
|---|---|---|
Deep learning-based automatic modulation classification (AMC) models are susceptible to adversarial attacks. Such attacks inject specifically crafted wireless interference into transmitted signals to induce erroneous classification predictions. Furthermore, adversarial interference is transferable in black box environments, allowing an adversary to attack multiple deep learning models with a singl... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCCN.2021.3114154 | IEEE Transactions on Cognitive Communications and Networking |
Keywords | DocType | Volume |
Interference,Wireless communication,Receivers,Deep learning,Communication system security,Uncertainty,Time-domain analysis | Journal | 8 |
Issue | ISSN | Citations |
1 | 2332-7731 | 4 |
PageRank | References | Authors |
0.48 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajeev Sahay | 1 | 4 | 0.82 |
| Christopher G. Brinton | 2 | 118 | 15.23 |
| David J. Love | 3 | 2424 | 157.01 |