3 papers
cs.CL2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun, Hanpeng Wu, Xi Sheryl Zhang
The pretraining and fine-tuning approach has become the leading technique for various NLP applications. However, recent studies reveal that fine-tuning data, due to their sensitive…
cs.LG2023
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
Zilong Zhao, Han Wu, Aad Van Moorsel +1
This paper presents the application of Vertical Federated Learning (VFL) to generate synthetic tabular data using Generative Adversarial Networks (GANs). VFL is a collaborative app…
cs.CR2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Han Wu, Zilong Zhao, Lydia Y. Chen +1
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning methodology, since it avoids exchanging data between participants, but instead exc…