activity
20192022
most citedEffects of Forward Error Correction on Communications Aware Evasion Attacks

9 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022★ 1 cited

Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections

Anders M. Buvarp, Daniel J. Jakubisin, William C. Headley +1

With the recent introduction of electromagnetic meta-surfaces and reconfigurable intelligent surfaces, a paradigm shift is currently taking place in the world of wireless communica…

cs.CV2021

Scaled-Time-Attention Robust Edge Network

Richard Lau, Lihan Yao, Todd Huster +6

This paper describes a systematic approach towards building a new family of neural networks based on a delay-loop version of a reservoir neural network. The resulting architecture,…

eess.SP2020★ 5 cited

Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks

Matthew DelVecchio, Vanessa Arndorfer, William C. Headley

Adversarial evasion attacks have been very successful in causing poor performance in a wide variety of machine learning applications. One such application is radio frequency spectr…

eess.SP2020★ 9 cited

Effects of Forward Error Correction on Communications Aware Evasion Attacks

Matthew DelVecchio, Bryse Flowers, William 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 atta…

cs.NI2019★ 4 cited

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments

Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu +3

Dynamic spectrum access (DSA) benefits from detection and classification of interference sources including in-network users, out-network users, and jammers that may all coexist in…