Robin Mitra

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 11

Top Topics

Privacy Preserving

Contingency Tables

Top Venues

Comput. Stat. Data Anal.

Nat. Mac. Intell.

Publications

Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR (2024)
James Jackson, Robin Mitra, Brian Francis, Iain Dove
Obtaining (ε,δ)-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables. CoRR (2024)
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, Ginestra Bianconi, Rubén Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. CoRR (2023)
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, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. Nat. Mac. Intell. 5 (1) (2023)
James Jackson, Robin Mitra, Brian Francis, Iain Dove
On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach. PSD (2022)
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
A Framework for Auditable Synthetic Data Generation. CoRR (2022)
Robin Mitra, Stéphanie Blanchard, Iain Dove, Caroline Tudor, Keith Spicer
Confidentiality challenges in releasing longitudinally linked data. Trans. Data Priv. 13 (2) (2020)
Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap
Data privacy preserving scheme using generalised linear models. Comput. Secur. 69 (2017)
Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap
Statistical Disclosure Control for Data Privacy Using Sequence of Generalised Linear Models. ACISP (1) (2016)
Min Cherng Lee, Robin Mitra
Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models. Comput. Stat. Data Anal. 95 (2016)
Sana Rashid, Robin Mitra, Russell J. Steele
Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets. Comput. Stat. Data Anal. 92 (2015)
Jerome P. Reiter, Robin Mitra
Estimating Risks of Identification Disclosure in Partially Synthetic Data. J. Priv. Confidentiality 1 (1) (2009)
Robin Mitra, Jerome P. Reiter
Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data. Privacy in Statistical Databases (2006)