83 citations · 86 across the 4 of their papers we have counts for
4 papers
Universal Fourier Attack for Time Series
Elizabeth Coda, Brad Clymer, Chance DeSmet +2
A wide variety of adversarial attacks have been proposed and explored using image and audio data. These attacks are notoriously easy to generate digitally when the attacker can dir…
Deep Learning for Spectral Filling in Radio Frequency Applications
Matthew Setzler, Elizabeth Coda, Jeremiah Rounds +2
Due to the Internet of Things (IoT) proliferation, Radio Frequency (RF) channels are increasingly congested with new kinds of devices, which carry unique and diverse communication…
Digital Signal Processing Using Deep Neural Networks
Brian Shevitski, Yijing Watkins, Nicole Man +1
Currently there is great interest in the utility of deep neural networks (DNNs) for the physical layer of radio frequency (RF) communications. In this manuscript, we describe a cus…
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Gihan Panapitiya, Michael Girard, Aaron Hollas +3
Determining the aqueous solubility of molecules is a vital step in many pharmaceutical, environmental, and energy storage applications. Despite efforts made over decades, there are…