Thee Chanyaswad

16 papers A* 1B 1Misc 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A compressive multi-kernel method for privacy-preserving machine learning. CoRR Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
2019	J	`jnl`	Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
2019	J	`jnl`	RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. Thee Chanyaswad, Changchang Liu, Prateek Mittal
2018	J	`jnl`	A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	A*	`conf`	MVG Mechanism: Differential Privacy under Matrix-Valued Query. CCS Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	J	`jnl`	MVG Mechanism: Differential Privacy under Matrix-Valued Query. CoRR Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018	Misc	`conf`	Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP Mert Al, Thee Chanyaswad, Sun-Yuan Kung
2018	Misc	`conf`	Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP Thee Chanyaswad, Mert Al, Sun-Yuan Kung
2018	—	`—`	Privacy-Preserving Machine Learning via Data Compression & Differential Privacy Thee Chanyaswad
2018	J	`jnl`	Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR Mert Al, Thee Chanyaswad, Sun-Yuan Kung
2017	B	`conf`	A compressive multi-kernel method for privacy-preserving machine learning. IJCNN Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
2017	J	`jnl`	Collaborative PCA/DCA Learning Methods for Compressive Privacy. ACM Trans. Embed. Comput. Syst. Sun-Yuan Kung, Thee Chanyaswad, J. Morris Chang, Pei Yuan Wu
2017	J	`jnl`	Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR Thee Chanyaswad, Changchang Liu, Prateek Mittal
2017	J	`jnl`	Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning. CoRR Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung
2017	—	`conf`	Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification. MLSP Thee Chanyaswad, Mert Al, J. Morris Chang, Sun-Yuan Kung
2016	—	`conf`	Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung