Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection

no code implementations • 19 Jan 2024 • Aydin Abadi, Bradley Doyle, Francesco Gini, Kieron Guinamard, Sasi Kumar Murakonda, Jack Liddell, Paul Mellor, Steven J. Murdoch, Mohammad Naseri, Hector Page, George Theodorakopoulos, Suzanne Weller

Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data exchange.

Federated Learning Fraud Detection +1

VAMS: Verifiable Auditing of Access to Confidential Data

no code implementations • 12 May 2018 • Alexander Hicks, Vasilios Mavroudis, Mustafa Al-Bassam, Sarah Meiklejohn, Steven J. Murdoch

We propose VAMS, a system that enables transparency for audits of access to data requests without compromising the privacy of parties in the system.

Cryptography and Security