Defensive Machine Learning Techniques for Countering Adversarial Attacks

Attention-enhanced Deep Learning Models for Data Cleaning and Integration

The Applications of Alternating Minimization Algorithms on Deep Learning Models

Towards the Robustness of Deep Learning Systems Against Adversarial Examples in Sequential Data

Mining User Generated Content: Addressing Data Scarcity in Filtering Tasks

Deep Learning with Differential Privacy and Adversarial Robustness

Temporal Irregular Tensor Factorization and Prediction for Health Data Analysis

Crowdsourcing and Semi Supervised Learning for Detection and Prediction of Hospital Acquired Pressure Ulcer Injury

Federated Tensor Factorization for Collaborative Health Data Analytics