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Local Differential Privacy Is Equivalent to Contraction of $E_γ$-Divergence


Feb 02, 2021
Shahab Asoodeh, Maryam Aliakbarpour, Flavio P. Calmon


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Privacy Analysis of Online Learning Algorithms via Contraction Coefficients


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

* Submitted 

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Bottleneck Problems: Information and Estimation-Theoretic View


Nov 12, 2020
Shahab Asoodeh, Flavio Calmon


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Three Variants of Differential Privacy: Lossless Conversion and Applications


Aug 14, 2020
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar

* An extended version of our previous paper (arXiv:2001.05990) presented at ISIT'20 

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Privacy Amplification of Iterative Algorithms via Contraction Coefficients


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

* Submitted for publication 

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A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences


Jan 16, 2020
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar

* Submitted for Publication 

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Obfuscation via Information Density Estimation


Oct 17, 2019
Hsiang Hsu, Shahab Asoodeh, Flavio du Pin Calmon

* 24 pages, 3 figures 

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Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds


Sep 06, 2018
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans

* 12 pages 

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Generalizing Bottleneck Problems


May 10, 2018
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flavio P. Calmon

* 5 pages, 1 figure 

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A Tamper-Free Semi-Universal Communication System for Deletion Channels


Apr 09, 2018
Shahab Asoodeh, Yi Huang, Ishanu Chattopadhyay

* 14 pages, 7 figures 

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Curvature of Hypergraphs via Multi-Marginal Optimal Transport


Mar 22, 2018
Shahab Asoodeh, Tingran Gao, James Evans


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Information Extraction Under Privacy Constraints


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

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

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