Training Set Affect on Super Resolution for Automated Target Recognition. - Matthew Ciolino; David Noever; Josh Kalin (CoRR, 2019)

The Go Transformer: Natural Language Modeling for Game Play. - Matthew Ciolino; Josh Kalin; David Noever (AI4I, 2020)

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. - Josh Kalin; Matthew Ciolino; David Noever; Gerry V. Dozier (AI4I, 2020)

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures. - David Noever; Wes Regian; Matthew Ciolino; Josh Kalin; Dom Hambrick; Kaye Blankenship (CoRR, 2020)

Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models. - Josh Kalin; David Noever; Gerry V. Dozier (CoRR, 2020)

The Chess Transformer: Mastering Play using Generative Language Models. - David Noever; Matthew Ciolino; Josh Kalin (CoRR, 2020)

Local Translation Services for Neglected Languages. - David Noever; Josh Kalin; Matthew Ciolino; Dom Hambrick; Gerry V. Dozier (CoRR, 2021)

Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks. - Matthew Ciolino; Josh Kalin; David Noever (CoRR, 2021)

Multilingual Augmenter: The Model Chooses. - Matthew Ciolino; David Noever; Josh Kalin (CoRR, 2021)

A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models. - Josh Kalin; David Noever; Matthew Ciolino (CoRR, 2021)

Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models. - Josh Kalin; David Noever; Matthew Ciolino; Dominick Hambrick; Gerry V. Dozier (CoRR, 2021)

Color Teams for Machine Learning Development. - Josh Kalin; David Noever; Matthew Ciolino (CoRR, 2021)