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Training Differentially Private Models with Secure Multiparty Computation


Feb 05, 2022
Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson Nascimento, Martine De Cock


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Privacy-Preserving Training of Tree Ensembles over Continuous Data


Jun 05, 2021
Samuel Adams, Chaitali Choudhary, Martine De Cock, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen


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Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines


Mar 20, 2021
Rafael Dowsley, Caleb Horst, Anderson C. A. Nascimento


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Privacy-Preserving Feature Selection with Secure Multiparty Computation


Feb 06, 2021
Xiling Li, Rafael Dowsley, Martine De Cock


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Privacy-Preserving Video Classification with Convolutional Neural Networks


Feb 06, 2021
Sikha Pentyala, Rafael Dowsley, Martine De Cock


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Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation


Jan 18, 2021
Amanda Resende, Davis Railsback, Rafael Dowsley, Anderson C. A. Nascimento, Diego F. Aranha


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Private Speech Characterization with Secure Multiparty Computation


Jul 01, 2020
Kyle Bittner, Martine De Cock, Rafael Dowsley


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High Performance Logistic Regression for Privacy-Preserving Genome Analysis


Mar 03, 2020
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki


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Protecting Privacy of Users in Brain-Computer Interface Applications


Jul 02, 2019
Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento


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