43 citations · 52 across the 4 of their papers we have counts for
4 papers
Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications
Nicole Villavicencio-Garduño, Maksim Ekin Eren, Milo Prisbrey +2
Artificial Intelligence (AI) is increasingly used to automate a variety of real-world computer vision (CV) applications, such as autonomous vehicle control, facial recognition, and…
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
Tim Sainburg, Marvin Thielk, Brad Theilman +2
We present a neural network architecture based upon the Autoencoder (AE) and Generative Adversarial Network (GAN) that promotes a convex latent distribution by training adversarial…
Biologically Inspired Radio Signal Feature Extraction with Sparse Denoising Autoencoders
Benjamin Migliori, Riley Zeller-Townson, Daniel Grady +1
Automatic modulation classification (AMC) is an important task for modern communication systems; however, it is a challenging problem when signal features and precise models for ge…
Photoactivation of neurons by laser-generated local heating
Benjamin Migliori, Massimiliano Di Ventra, William Kristan
We present a method for achieving temporally and spatially precise photoactivation of neurons without the need for genetic expression of photosensitive proteins. Our method depends…