Publications

You can find all my publications on my Google Scholar profile.

Conference Papers

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting — Samuel Maddock, Graham Cormode, Carsten Maple. [KDD 2024]
Slides · Poster
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning — Samuel Maddock, Alexandre Sablayrolles, Pierre Stock. [ICLR 2023]
Slides · Poster
Federated Boosted Decision Trees with Differential Privacy — Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha. [CCS 2022]
Slides
Frequency Estimation under Local Differential Privacy — Graham Cormode, Samuel Maddock, Carsten Maple. [PVLDB 2021]
Slides · Poster

GEM+: Scalable State-of-the-Art Private Synthetic Data with Generator Networks — Samuel Maddock, Shripad Gade, Graham Cormode, Will Bullock. [TPDP 2026]
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation — Samuel Maddock, Shripad Gade, Graham Cormode, Will Bullock. [SynthData Workshop @ ICLR 2025]

Synthetic Tabular Data: Methods, Attacks and Defenses — Graham Cormode, Samuel Maddock, Enayat Ullah, Shripad Gade. [KDD 2025; VLDB 2025]

Private Federated Multiclass Post-hoc Calibration — Samuel Maddock, Graham Cormode, Carsten Maple. — arXiv 2510.01987, 2025