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cs.CR2025★ 1 cited
Why Data Anonymization Has Not Taken Off
Matthew J. Schneider, James Bailie, Dawn Iacobucci
Companies are looking to data anonymization research $\unicode{x2013}$ including differential private and synthetic data methods $\unicode{x2013}$ for simple and straightforward co…
cs.LG2025
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann, James Bailie
Many learning paradigms self-select training data in light of previously learned parameters. Examples include active learning, semi-supervised learning, bandits, or boosting. Rodem…