2 papers
cs.LG2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning
Nexhi Sula, Abhinav Kumar, Jie Hou +2
With the continued advancement and widespread adoption of machine learning (ML) models across various domains, ensuring user privacy and data security has become a paramount concer…
cs.LG2024
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
Panyi Dong, Zhiyu Quan, Brandon Edwards +5
The report demonstrates the benefits (in terms of improved claims loss modeling) of harnessing the value of Federated Learning (FL) to learn a single model across multiple insuranc…