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10/20/2021
Color Teams for Machine Learning Development
Machine learning and software development share processes and methodolog...
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03/29/2021
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Image classification is a common step in image recognition for machine l...
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03/03/2021
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
Each machine learning model deployed into production has a risk of adver...
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02/19/2021
Multilingual Augmenter: The Model Chooses
Natural Language Processing (NLP) relies heavily on training data. Trans...
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02/19/2021
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks
Production machine learning systems are consistently under attack by adv...
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01/05/2021
Local Translation Services for Neglected Languages
Taking advantage of computationally lightweight, but high-quality transl...
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09/07/2020
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing
In Machine Learning, White Box Adversarial Attacks rely on knowing under...
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08/02/2020
The Chess Transformer: Mastering Play using Generative Language Models
This work demonstrates that natural language transformers can support mo...
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07/07/2020
The Go Transformer: Natural Language Modeling for Game Play
This work applies natural language modeling to generate plausible strate...
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06/19/2020
Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models
This work proposes a structured approach to baselining a model, identify...
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01/03/2020