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Thee Chanyaswad

A compressive multi-kernel method for privacy-preserving machine learning


Jun 20, 2021
Thee Chanyaswad, J. Morris Chang, S. Y. Kung

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* Published in 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017 
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MVG Mechanism: Differential Privacy under Matrix-Valued Query


Oct 16, 2018
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal

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* Thee Chanyaswad, Alex Dytso, H. Vincent Poor, and Prateek Mittal. 2018. MVG Mechanism: Differential Privacy under Matrix-Valued Query. In 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS'18) 
 * Appeared in CCS'18 
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Supervising Nyström Methods via Negative Margin Support Vector Selection


May 18, 2018
Mert Al, Thee Chanyaswad, Sun-Yuan Kung

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* 10 pages, 3 figures, 1 table for the main paper. 4 pages, 2 figures, 1 table for the appendix. Submitted to the Thirty-second Annual Conference on Neural Information Processing Systems (NIPS) 
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A Differential Privacy Mechanism Design Under Matrix-Valued Query


Feb 26, 2018
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal

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* arXiv admin note: substantial text overlap with arXiv:1801.00823 
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Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning


Jul 24, 2017
Artur Filipowicz, Thee Chanyaswad, S. Y. Kung

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