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20182025
most citedWhen Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions

38 citations · 107 across the 9 of their papers we have counts for

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Showing 2019Show all

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eess.SP2019

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Bryse Flowers, R. Michael Buehrer, William C. Headley

Recent advancements in radio frequency machine learning (RFML) have demonstrated the use of raw in-phase and quadrature (IQ) samples for multiple spectrum sensing tasks. Yet, deep…