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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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* Submitted 

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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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* 5 pages, appeared in ISIT 2020 

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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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* Submitted for publication 

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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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* 18 pages, 1 figure 

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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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* Corrected email address 

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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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* 9 pages, 1 figure, ISIT 2019 

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Information Extraction Under Privacy Constraints


Jan 17, 2016
Shahab Asoodeh, Mario Diaz, Fady Alajaji, Tamás Linder

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* 55 pages, 6 figures. Improved the organization and added detailed literature review 

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