2022 |
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1.
AutoML Models for Wireless Signals Classification and their effectiveness against Adversarial Attacks
K. S. Durbha and S. Amuru Comparing and understanding the performance of AutoML models with state-of-the-art models on wireless signal classification and their vulnerability towards transfer-based Projected Gradient Descent and Carlini-Wagner adversarial attacks. [Paper] [Code] |