Understanding and Incentivizing Behavior in Emerging Decentralized Ecosystems

Defensive Machine Learning Techniques for Countering Adversarial Attacks

Vulnerability Detection: A Machine Learning Approach to Identifying Security Vulnerabilities In Code

The Evaluation of Distance Metrics for Generating Adversarial Perturbations from Univariate Time Series Data

Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis

Attention-enhanced Deep Learning Models for Data Cleaning and Integration

Synthetic Trajectory Generation via Clustering-Based Semi-supervised Generative Adversarial Networks

The Applications of Alternating Minimization Algorithms on Deep Learning Models

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