Thee Chanyaswad

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 15

Top Topics

Discriminant Information

Differential Privacy

Hypothesis Test

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
A compressive multi-kernel method for privacy-preserving machine learning. CoRR (2021)
Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Thee Chanyaswad, Changchang Liu, Prateek Mittal
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR (2018)
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CoRR (2018)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR (2018)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP (2018)
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CCS (2018)
Thee Chanyaswad, Mert Al, Sun-Yuan Kung
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP (2018)
Sun-Yuan Kung, Thee Chanyaswad, J. Morris Chang, Pei Yuan Wu
Collaborative PCA/DCA Learning Methods for Compressive Privacy. ACM Trans. Embed. Comput. Syst. 16 (3) (2017)
Thee Chanyaswad, Mert Al, J. Morris Chang, Sun-Yuan Kung
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification. MLSP (2017)
Thee Chanyaswad, Changchang Liu, Prateek Mittal
Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR (2017)
Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning. CoRR (2017)
Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung
A compressive multi-kernel method for privacy-preserving machine learning. IJCNN (2017)
Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung
Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP (2016)