3 papers
cs.LG2025
Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation
Erin Lanus, Daniel Wolodkin, Laura J. Freeman
A common use of machine learning (ML) models is predicting the class of a sample. Object detection is an extension of classification that includes localization of the object via a…
cs.SE2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy +2
Machine learning (ML) - based software systems are rapidly gaining adoption across various domains, making it increasingly essential to ensure they perform as intended. This report…
cs.CR2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus +2
Machine learning (ML) is increasingly being deployed in critical systems. The data dependence of ML makes securing data used to train and test ML-enabled systems of utmost importan…