Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption. - Stephen Hardy 002; Wilko Henecka; Hamish Ivey-Law; Richard Nock; Giorgio Patrini; Guillaume Smith; Brian Thorne (CoRR, 2017)

Entity Resolution and Federated Learning get a Federated Resolution. - Richard Nock; Stephen Hardy 002; Wilko Henecka; Hamish Ivey-Law; Giorgio Patrini; Guillaume Smith; Brian Thorne (CoRR, 2018)

SEALion: a Framework for Neural Network Inference on Encrypted Data. - Tim van Elsloo; Giorgio Patrini; Hamish Ivey-Law (CoRR, 2019)

The Impact of Record Linkage on Learning from Feature Partitioned Data. - Richard Nock; Stephen Hardy 002; Wilko Henecka; Hamish Ivey-Law; Jakub Nabaglo; Giorgio Patrini; Guillaume Smith; Brian Thorne (ICML, 2021)

SeDe: Balancing Blockchain Privacy and Regulatory Compliance by Selective De-Anonymization. - Naveen Sahu; Mitul Gajera; Amit Chaudhary; Hamish Ivey-Law (CoRR, 2023)

FinTracer: A privacy-preserving mechanism for tracing electronic money. - Michael Brand; Hamish Ivey-Law; Tania Churchill (IACR Cryptol. ePrint Arch., 2023)