Secure Evaluation Protocol for Personalized Medicine. - Mentari Djatmiko; Arik Friedman; Roksana Boreli; Felix Lawrence; Brian Thorne; Stephen Hardy 002 (WPES, 2014)

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)

Canopy-Based Private Blocking. - Yanfeng Shu; Stephen Hardy 002; Brian Thorne (AusDM, 2018)

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)

Fairness-Aware Privacy-Preserving Record Linkage. - Dinusha Vatsalan; Joyce Yu; Wilko Henecka; Brian Thorne (DPM/CBT@ESORICS, 2020)

P-Signature-Based Blocking to Improve the Scalability of Privacy-Preserving Record Linkage. - Dinusha Vatsalan; Joyce Yu; Brian Thorne; Wilko Henecka (DPM/CBT@ESORICS, 2020)

Hyper-Parameter Optimization for Privacy-Preserving Record Linkage. - Joyce Yu; Jakub Nabaglo; Dinusha Vatsalan; Wilko Henecka; Brian Thorne (PKDD/ECML Workshops, 2020)

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)