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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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Private Speech Characterization with Secure Multiparty Computation


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


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Inline Detection of DGA Domains Using Side Information


Mar 12, 2020
Raaghavi Sivaguru, Jonathan Peck, Femi Olumofin, Anderson Nascimento, Martine De Cock


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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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User Profiling Using Hinge-loss Markov Random Fields


Jan 05, 2020
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock


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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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Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection


Jun 05, 2019
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Devin Reich, Ariel Todoki


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CharBot: A Simple and Effective Method for Evading DGA Classifiers


May 30, 2019
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock


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VirtualIdentity: Privacy-Preserving User Profiling


Aug 30, 2018
Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock


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Solving stable matching problems using answer set programming


Dec 16, 2015
Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé

* Theory and Practice of Logic Programming 16 (2016) 247-268 
* Under consideration in Theory and Practice of Logic Programming (TPLP). arXiv admin note: substantial text overlap with arXiv:1302.7251 

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Characterizing and Extending Answer Set Semantics using Possibility Theory


Nov 30, 2013
Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir

* 39 pages and 16 pages appendix with proofs. This article has been accepted for publication in Theory and Practice of Logic Programming, Copyright Cambridge University Press 

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Modeling Stable Matching Problems with Answer Set Programming


May 02, 2013
Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé

* 26 pages 

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Possibilistic Answer Set Programming Revisited


Mar 15, 2012
Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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