Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies - Mert Al; Semih Yagli; Sun-Yuan Kung (IEEE Trans. Neural Networks Learn. Syst., 2023)

Scalable Kernel Learning Via the Discriminant Information - Mert Al; Zejiang Hou; Sun-Yuan Kung (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies - Mert Al; Semih Yagli; Sun-Yuan Kung (CoRR, 2020)

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective - Alex Dytso; Mert Al; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2019)

Scalable Kernel Learning via the Discriminant Information - Mert Al; Zejiang Hou; Sun-Yuan Kung (CoRR, 2019)

Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information - Thee Chanyaswad; Mert Al; Sun-Yuan Kung (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning - Mert Al; Thee Chanyaswad; Sun-Yuan Kung (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

Supervising Nyström Methods via Negative Margin Support Vector Selection - Mert Al; Thee Chanyaswad; Sun-Yuan Kung (CoRR, 2018)

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 (27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017, 2017)

Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection - Mert Al; Shibiao Wan; Sun-Yuan Kung (CoRR, 2017)