Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data. - Robin Mitra; Jerome P. Reiter (Privacy in Statistical Databases, 2006)

Estimating Risks of Identification Disclosure in Partially Synthetic Data. - Jerome P. Reiter; Robin Mitra (J. Priv. Confidentiality, 2009)

Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets. - Sana Rashid; Robin Mitra; Russell J. Steele (Comput. Stat. Data Anal., 2015)

Statistical Disclosure Control for Data Privacy Using Sequence of Generalised Linear Models. - Min Cherng Lee; Robin Mitra; Emmanuel Lazaridis; An Chow Lai; Yong Kheng Goh; Wun-She Yap (ACISP (1), 2016)

Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models. - Min Cherng Lee; Robin Mitra (Comput. Stat. Data Anal., 2016)

Data privacy preserving scheme using generalised linear models. - Min Cherng Lee; Robin Mitra; Emmanuel Lazaridis; An Chow Lai; Yong Kheng Goh; Wun-She Yap (Comput. Secur., 2017)

Confidentiality challenges in releasing longitudinally linked data. - Robin Mitra; Stéphanie Blanchard; Iain Dove; Caroline Tudor; Keith Spicer (Trans. Data Priv., 2020)

On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach. - James Jackson; Robin Mitra; Brian Francis; Iain Dove (PSD, 2022)

A Framework for Auditable Synthetic Data Generation. - Florimond Houssiau; Samuel N. Cohen; Lukasz Szpruch; Owen Daniel; Michaela G. Lawrence; Robin Mitra; Henry Wilde; Callum D. Mole (CoRR, 2022)

Learning from data with structured missingness. - Robin Mitra; Sarah F. McGough; Tapabrata Chakraborti; Chris C. Holmes; Ryan Copping; Niels Hagenbuch; Stefanie Biedermann; Jack Noonan; Brieuc Lehmann; Aditi Shenvi; Xuan Vinh Doan; David Leslie; et al. (Nat. Mac. Intell., 2023)

Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables. - James Jackson; Robin Mitra; Brian Francis; Iain Dove (PSD, 2024)

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. - Linglong Qian; Tao Wang 036; Jun Wang; Hugh Logan Ellis; Robin Mitra; Richard J. B. Dobson; Zina M. Ibrahim (CoRR, 2024)

Personalized uncertainty quantification in artificial intelligence. - Tapabrata Chakraborti; Christopher R. S. Banerji; Ariane Marandon; Vicky Hellon; Robin Mitra; Brieuc Lehmann; Leandra Bräuninger; Sarah F. McGough; Cagatay Turkay; Alejandro F. Frangi; Ginestra Bianconi; Weizi Li; et al. (Nat. Mac. Intell., 2025)