Yongkai Wu

Achieving non-discrimination in data release

2016 · arXiv (Cornell University)

Discrimination discovery and prevention/removal are increasingly important tasks in data mining. Discrimination discovery aims to unveil discriminatory practices on the protected attribute (e.g., gender) by analyzing the dataset of historical decision records, and discrimination prevention …

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach

2023 · arXiv (Cornell University)

Graph Neural Networks have achieved tremendous success in modeling complex graph data in a variety of applications. However, there are limited studies investigating privacy protection in GNNs. In this work, we propose a learning framework …

Algorithmic Recourse in Abnormal Multivariate Time Series

2023 · arXiv (Cornell University)

Algorithmic recourse provides actionable recommendations to alter unfavorable predictions of machine learning models, enhancing transparency through counterfactual explanations. While significant progress has been made in algorithmic recourse for static data, such as tabular and image …