3 citations · 11 across the 19 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CR2021★ 3 cited
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
Gradient-based adversarial attacks on deep neural networks pose a serious threat, since they can be deployed by adding imperceptible perturbations to the test data of any network,…
eess.SP2021
A Deep Ensemble-based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification
Rajeev Sahay, Christopher G. Brinton, David J. Love
Deep learning-based automatic modulation classification (AMC) models are susceptible to adversarial attacks. Such attacks inject specifically crafted wireless interference into tra…