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Aisec. ACM Workshop on Artificial Intelligence and Security|July 25, 2025
Subsampled Exponential Mechanism: Differential Privacy in Large Output SpacesEric Lantz, Kendrick Boyd, David Page
Aisec. ACM Workshop on Artificial Intelligence and Security|July 25, 2025
Differential Privacy for Classifier EvaluationKendrick Boyd, Eric Lantz, David Page
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|December 19, 2013
Unachievable Region in Precision-Recall Space and Its Effect on Empirical EvaluationKendrick Boyd, Vítor Santos Costa, Jesse Davis, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Machine Learning for Treatment Assignment: Improving Individualized Risk AttributionJeremy Weiss, Finn Kuusisto, Kendrick Boyd, et al.
Proceedings of the ... USENIX Security Symposium. UNIX Security Symposium|April 15, 2016
Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin DosingMatthew Fredrikson, Eric Lantz, Somesh Jha, et al.
Optics Express|May 29, 2009
Weak-wave advancement in nearly collinear four-wave mixing: commentEric Lantz, Thibaut Sylvestre
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|January 1, 2019
Three-Cornered Hat and Groslambert Covariance: A First Attempt to Assess the Uncertainty DomainsFrancois Vernotte, Eric Lantz
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