Olivia M. Brown

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Grey Relational Analysis

Ibm Zenterprise

Feed Forward Neural Networks

Top Venues

ICDM (Workshops)

Publications

Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer
Tools and Practices for Responsible AI Engineering. CoRR (2022)
John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke
Backdoor Poisoning of Encrypted Traffic Classifiers. ICDM (Workshops) (2022)
Olivia M. Brown, Andrew Curtis, Justin A. Goodwin
Principles for Evaluation of AI/ML Model Performance and Robustness. CoRR (2021)
Stephen Mell, Olivia M. Brown, Justin A. Goodwin, Sung-Hyun Son
Safe Predictors for Enforcing Input-Output Specifications. CoRR (2020)
Justin A. Goodwin, Olivia M. Brown, Victoria Helus
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. CoRR (2020)
Justin A. Goodwin, Olivia M. Brown, Victoria Helus
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. HPEC (2020)
Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son
Kernelized Capsule Networks. CoRR (2019)
Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son
Learning Robust Representations for Automatic Target Recognition. CoRR (2018)