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Mario Diaz

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Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses

May 17, 2023
Shahab Asoodeh, Mario Diaz

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Privacy Analysis of Online Learning Algorithms via Contraction Coefficients

Dec 20, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

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On the alpha-loss Landscape in the Logistic Model

Jun 22, 2020
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Gautam Dasarathy

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To Split or Not to Split: The Impact of Disparate Treatment in Classification

Feb 12, 2020
Hao Wang, Hsiang Hsu, Mario Diaz, Flavio P. Calmon

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Privacy Amplification of Iterative Algorithms via Contraction Coefficients

Jan 17, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

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Theoretical Guarantees for Model Auditing with Finite Adversaries

Nov 08, 2019
Mario Diaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar

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A Tunable Loss Function for Classification

Jun 26, 2019
Tyler Sypherd, Mario Diaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy

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A Tunable Loss Function for Binary Classification

Mar 19, 2019
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Peter Kairouz

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