Mary Scott

According to our database, Mary Scott authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed, communication-efficient, and differentially private estimation of KL divergence.

Mary Scott, Sayan Biswas, Graham Cormode, Carsten Maple

CoRR, 2024

Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity.

Mary Scott, Graham Cormode, Carsten Maple

CoRR, 2024

2022

Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy.

Mary Scott, Graham Cormode, Carsten Maple

IEEE Trans. Inf. Forensics Secur., 2022

2021

Applying the Shuffle Model of Differential Privacy to Vector Aggregation.

Mary Scott, Graham Cormode, Carsten Maple

Proceedings of the The British International Conference on Databases 2021, 2021