Thee Chanyaswad

According to our database, Thee Chanyaswad authored at least 14 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing.

Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release.

Thee Chanyaswad, Changchang Liu, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

2018

Privacy-Preserving Machine Learning via Data Compression & Differential Privacy

Thee Chanyaswad

PhD thesis, 2018

Supervising Nyström Methods via Negative Margin Support Vector Selection.

Mert Al, Thee Chanyaswad, Sun-Yuan Kung

CoRR, 2018

A Differential Privacy Mechanism Design Under Matrix-Valued Query.

Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal

CoRR, 2018

Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information.

Thee Chanyaswad, Mert Al, Sun-Yuan Kung

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning.

Mert Al, Thee Chanyaswad, Sun-Yuan Kung

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

MVG Mechanism: Differential Privacy under Matrix-Valued Query.

Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Collaborative PCA/DCA Learning Methods for Compressive Privacy.

Sun-Yuan Kung, Thee Chanyaswad, J. Morris Chang, Pei Yuan Wu

ACM Trans. Embed. Comput. Syst., 2017

Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release.

Thee Chanyaswad, Changchang Liu, Prateek Mittal

CoRR, 2017

Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning.

Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung

CoRR, 2017

Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification.

Thee Chanyaswad, Mert Al, J. Morris Chang, Sun-Yuan Kung

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

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

Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Discriminant-component eigenfaces for privacy-preserving face recognition.

Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016