Vamsi K. Potluru

Graph Belief Propagation Networks

2021 · arXiv (Cornell University)

With the wide-spread availability of complex relational data, semi-supervised node classification in graphs has become a central machine learning problem. Graph neural networks are a recent class of easy-to-train and accurate methods for this problem …

A supervised generative optimization approach for tabular data

2023

Synthetic data generation has emerged as a crucial topic for financial institutions, driven by multiple factors, such as privacy protection and data augmentation. Many algorithms have been proposed for synthetic data generation but reaching the …

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

2024 · arXiv (Cornell University)

Large Language Models (LLMs) embed sensitive, human-generated data, prompting the need for unlearning methods. Although certified unlearning offers strong privacy guarantees, its restrictive assumptions make it unsuitable for LLMs, giving rise to various heuristic approaches …