A Computational Algorithm for Handling the Special Uniques Problem. - Mark J. Elliot; Anna M. Manning; Rupert W. Ford (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002)

Statistical disclosure control architectures for patient records in biomedical information systems. - Mark J. Elliot; Kingsley Purdam; Duncan Smith (J. Biomed. Informatics, 2008)

A Measure of Disclosure Risk for Tables of Counts. - Duncan Smith; Mark J. Elliot (Trans. Data Priv., 2008)

Factors affecting the performance of parallel mining of minimal unique itemsets on diverse architectures. - David J. Haglin; Kenneth R. Mayes; Anna M. Manning; John Feo; John R. Gurd; Mark J. Elliot; John A. Keane (Concurr. Comput. Pract. Exp., 2009)

Data Environment Analysis and the Key Variable Mapping System. - Mark J. Elliot; Susan Lomax; Elaine Mackey; Kingsley Purdam (Privacy in Statistical Databases, 2010)

Understanding the Data Environment. - Elaine Mackey; Mark J. Elliot (XRDS, 2013)

Measuring Disclosure Risk with Entropy in Population Based Frequency Tables. - Laszlo Antal; Natalie Shlomo; Mark J. Elliot (Privacy in Statistical Databases, 2014)

A Graph-based Approach to Key Variable Mapping. - Duncan Smith; Mark J. Elliot (J. Priv. Confidentiality, 2014)

Quantifying Genomic Privacy via Inference Attack with High-Order SNV Correlations. - Sahel Shariati Samani; Zhicong Huang; Erman Ayday; Mark J. Elliot; Jacques Fellay; Jean-Pierre Hubaux; Zoltán Kutalik (IEEE Symposium on Security and Privacy Workshops, 2015)

A Genetic Algorithm Approach to Synthetic Data Production. - Yingrui Chen; Mark J. Elliot; Joseph W. Sakshaug (PrAISe@ECAI, 2016)

Towards a general record linkage framework for statistical disclosure control. - Duncan Smith; Mark J. Elliot (PrAISe@ECAI, 2016)

Breaking the Activation Function Bottleneck through Adaptive Parameterization. - Sebastian Flennerhag; Hujun Yin; John A. Keane; Mark J. Elliot (NeurIPS, 2018)

The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods. - Yingrui Chen; Mark J. Elliot; Duncan Smith (PSD, 2018)

Differential Correct Attribution Probability for Synthetic Data: An Exploration. - Jennifer Taub; Mark J. Elliot; Maria Pampaka; Duncan Smith (PSD, 2018)

Functional anonymisation: Personal data and the data environment. - Mark J. Elliot; Kieron O'Hara; Charles D. Raab; Christine M. O'Keefe; Elaine Mackey; Chris Dibben; Heather Gowans; Kingsley Purdam; Karen McCullagh (Comput. Law Secur. Rev., 2018)

Are 'pseudonymised' data always personal data? Implications of the GDPR for administrative data research in the UK. - Miranda Mourby; Elaine Mackey; Mark J. Elliot; Heather Gowans; Susan E. Wallace; Jessica Bell; Hannah Smith; Stergios Aidinlis; Jane Kaye (Comput. Law Secur. Rev., 2018)

The Impact of Synthetic Data Generation on Data Utility with Application to the 1991 UK Samples of Anonymised Records. - Jennifer Taub; Mark J. Elliot; Joseph W. Sakshaug (Trans. Data Priv., 2020)

Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. - Claire Little; Mark J. Elliot; Richard Allmendinger 001; Sahel Shariati Samani (CoRR, 2021)

Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. - Claire Little; Mark J. Elliot; Richard Allmendinger 001 (PSD, 2022)

To Link or Synthesize? An Approach to Data Quality Comparison. - Duncan Smith; Mark J. Elliot; Joseph W. Sakshaug (ACM J. Data Inf. Qual., 2023)

Multi-objective evolutionary GAN for tabular data synthesis. - Nian Ran; Bahrul Ilmi Nasution; Claire Little; Richard Allmendinger 001; Mark J. Elliot (GECCO, 2024)

The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. - Mark J. Elliot; Claire Little; Richard Allmendinger 001 (PSD, 2024)