Effects of Forward Error Correction on Communications Aware Evasion Attacks

27 May 2020Matthew DelVecchioBryse FlowersWilliam C. Headley

Recent work has shown the impact of adversarial machine learning on deep neural networks (DNNs) developed for Radio Frequency Machine Learning (RFML) applications. While these attacks have been shown to be successful in disrupting the performance of an eavesdropper, they fail to fully support the primary goal of successful intended communication... (read more)

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