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Thee Chanyaswad
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2020 – today
- 2021
- [i6]Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. CoRR abs/2106.10671 (2021)
2010 – 2019
- 2019
- [j3]Thee Chanyaswad, Changchang Liu, Prateek Mittal:
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. 2019(1): 26-46 (2019) - [j2]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): 233-254 (2019) - 2018
- [b1]Thee Chanyaswad:
Privacy-Preserving Machine Learning via Data Compression & Differential Privacy. Princeton University, USA, 2018 - [c6]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CCS 2018: 230-246 - [c5]Thee Chanyaswad, Mert Al, Sun-Yuan Kung:
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP 2018: 2266-2270 - [c4]Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP 2018: 2891-2895 - [i5]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CoRR abs/1801.00823 (2018) - [i4]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR abs/1802.10077 (2018) - [i3]Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR abs/1805.04018 (2018) - 2017
- [j1]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): 76:1-76:18 (2017) - [c3]Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. IJCNN 2017: 4079-4086 - [c2]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: 1-6 - [i2]Artur Filipowicz, Thee Chanyaswad, Sun-Yuan Kung:
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning. CoRR abs/1707.07770 (2017) - [i1]Thee Chanyaswad, Changchang Liu, Prateek Mittal:
Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR abs/1709.00054 (2017) - 2016
- [c1]Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung:
Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP 2016: 1-6
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