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04/03/2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
Gradient-based adversarial attacks on deep neural networks pose a seriou...
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11/02/2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries
Automatic modulation classification (AMC) aims to improve the efficiency...
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02/22/2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks
Recent studies have shown that deep learning models are vulnerable to sp...
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01/26/2020
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Gradient-based adversarial attacks on neural networks can be crafted in ...
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06/13/2019
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
The reliance on deep learning algorithms has grown significantly in rece...
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12/07/2018
