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Thee Chanyaswad
Thee Chanyaswad
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Cited by
Cited by
Year
Mvg mechanism: Differential privacy under matrix-valued query
T Chanyaswad, A Dytso, HV Poor, P Mittal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
402018
Investigating statistical privacy frameworks from the perspective of hypothesis testing
C Liu, X He, T Chanyaswad, S Wang, P Mittal
Proceedings on Privacy Enhancing Technologies, 2019
332019
A compressive multi-kernel method for privacy-preserving machine learning
T Chanyaswad, JM Chang, SY Kung
2017 International Joint Conference on Neural Networks (IJCNN), 4079-4086, 2017
292017
Collaborative PCA/DCA learning methods for compressive privacy
SY Kung, T Chanyaswad, JM Chang, P Wu
ACM Transactions on Embedded Computing Systems (TECS) 16 (3), 1-18, 2017
282017
Ron-gauss: Enhancing utility in non-interactive private data release
T Chanyaswad, C Liu, P Mittal
arXiv preprint arXiv:1709.00054, 2017
212017
Discriminant-component eigenfaces for privacy-preserving face recognition
T Chanyaswad, JM Chang, P Mittal, SY Kung
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
182016
Multi-kernel, deep neural network and hybrid models for privacy preserving machine learning
M Al, T Chanyaswad, SY Kung
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
112018
Coupling dimensionality reduction with generative model for non-interactive private data release
T Chanyaswad, C Liu, P Mittal
arXiv preprint arXiv:1709.00054, 2017
72017
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification
T Chanyaswad, M Al, JM Chang, SY Kung
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
62017
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information
T Chanyaswad, M Al, SY Kung
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
A Differential Privacy Mechanism Design Under Matrix-Valued Query
T Chanyaswad, A Dytso, HV Poor, P Mittal
arXiv preprint arXiv:1802.10077, 2018
12018
Privacy-Preserving Machine Learning via Data Compression & Differential Privacy
T Chanyaswad
Princeton University, 2018
12018
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
A Filipowicz, T Chanyaswad, SY Kung
arXiv preprint arXiv:1707.07770, 2017
12017
A biomolecular implementation of systems described by linear and nonlinear ODE’s
VV Kulkarni, H Jiang, T Chanyaswad, M Riedel
Proc. Int. Workshop Biodesign Autom, 40-41, 2013
12013
Supervising Nystr\" om Methods via Negative Margin Support Vector Selection
M Al, T Chanyaswad, SY Kung
arXiv preprint arXiv:1805.04018, 2018
2018
Robust tunable in vitro transcriptional oscillator networks
VV Kulkarni, T Chanyaswad, M Riedel, J Kim
2012 50th Annual Allerton Conference on Communication, Control, and …, 2012
2012
Networks of Synthetic Biological Oscillators
T Chanyaswad
2012
Robust Tunable Synthetic Biological Oscillator Networks
VV Kulkarni, T Chanyaswad, M Riedel, J Kim
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Articles 1–18