Artigos com autorizações de acesso público - Thee ChanyaswadSaiba mais
3 artigos não disponíveis publicamente
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
Autorizações: US Department of Defense
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
Autorizações: US Department of Defense
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
Autorizações: US Department of Defense
4 artigos disponíveis publicamente
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US Department of Defense
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
Autorizações: US Department of Defense
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