Frequency Estimation under Local Differential Privacy [Experiments, Analysis and Benchmarks]. - Graham Cormode; Samuel Maddock; Carsten Maple (CoRR, 2021)

Frequency Estimation under Local Differential Privacy. - Graham Cormode; Samuel Maddock; Carsten Maple (Proc. VLDB Endow., 2021)

Federated Boosted Decision Trees with Differential Privacy. - Samuel Maddock; Graham Cormode; Tianhao Wang 001; Carsten Maple; Somesh Jha (CCS, 2022)

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. - Samuel Maddock; Alexandre Sablayrolles; Pierre Stock (ICLR, 2023)

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting. - Samuel Maddock; Graham Cormode; Carsten Maple (KDD, 2024)

Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation. - Samuel Maddock; Shripad Gade; Graham Cormode; Will Bullock (CoRR, 2025)

Synthetic Tabular Data: Methods, Attacks and Defenses. - Graham Cormode; Samuel Maddock; Enayat Ullah; Shripad Gade (CoRR, 2025)