11 citations · 14 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
LDRNet: Enabling Real-time Document Localization on Mobile Devices
Han Wu, Holland Qian, Huaming Wu +1
While Identity Document Verification (IDV) technology on mobile devices becomes ubiquitous in modern business operations, the risk of identity theft and fraud is increasing. The id…
Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion
Karen Elliott, Kovila Coopamootoo, Edward Curran +8
Financial inclusion depends on providing adjusted services for citizens with disclosed vulnerabilities. At the same time, the financial industry needs to adhere to a strict regulat…