Olivia M. Brown

According to our database, Olivia M. Brown authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Tools and Practices for Responsible AI Engineering.

Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer

CoRR, 2022

Backdoor Poisoning of Encrypted Traffic Classifiers.

John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Principles for Evaluation of AI/ML Model Performance and Robustness.

Olivia M. Brown, Andrew Curtis, Justin A. Goodwin

CoRR, 2021

2020

Safe Predictors for Enforcing Input-Output Specifications.

Stephen Mell, Olivia M. Brown, Justin A. Goodwin, Sung-Hyun Son

CoRR, 2020

Fast Training of Deep Neural Networks Robust to Adversarial Perturbations.

Justin A. Goodwin, Olivia M. Brown, Victoria Helus

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

Kernelized Capsule Networks.

Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son

CoRR, 2019

2018

Learning Robust Representations for Automatic Target Recognition.

Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son

CoRR, 2018