Thee Chanyaswad - researchr alias

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Viewing Publication 1 - 8 from 8

2019

RON-Gauss: Enhancing Utility in Non-Interactive Private Data ReleaseThee Chanyaswad, Changchang Liu, Prateek Mittal. popets, 2019(1):26-46, 2019. [doi]

Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis TestingChangchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal. popets, 2019(3):233-254, 2019. [doi]

2018

Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine LearningMert Al, Thee Chanyaswad, Sun-Yuan Kung. icassp 2018: 2891-2895 [doi]

Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant InformationThee Chanyaswad, Mert Al, S. Y. Kung. icassp 2018: 2266-2270 [doi]

MVG Mechanism: Differential Privacy under Matrix-Valued QueryThee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal. ccs 2018: 230-246 [doi]

2017

A compressive multi-kernel method for privacy-preserving machine learningThee Chanyaswad, J. Morris Chang, S. Y. Kung. ijcnn 2017: 4079-4086 [doi]

Collaborative PCA/DCA Learning Methods for Compressive PrivacySun-Yuan Kung, Thee Chanyaswad, J. Morris Chang, Pei Yuan Wu. tecs, 16(3), 2017. [doi]

2016

Discriminant-component eigenfaces for privacy-preserving face recognitionThee Chanyaswad, J. Morris Chang, Prateek Mittal, S. Y. Kung. mlsp 2016: 1-6 [doi]

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