Work Session on Statistical Data Confidentiality

Mahalanobis distance-based record linkage revisited
Krish Muralidhar (University of Oklahoma)

Investigating New Methods for Creating Anonymized Microdata Based on Japanese Census Data
Shinsuke Ito (Chuo University)

Empirical Comparison of Anonymization Methods Regarding Their Risk-Utility Trade-Off
Sara Ricci (Universitat Rovira i Virgili)

A Study of the Impact of Synthetic Data Generation Techniques on Data Utility using the 1991 UK Samples of Anonymised Records
Jennifer Taub (University of Manchester)

Measures for information loss in protected data
Mira Todorova (State Statistical Office, The former Yugoslav Republic of Macedonia)

A new shiny GUI for sdcMicro
Bernhard Meindl (Statistics Austria)

Genetic algorithms for matrix representations and their application to synthetic data generation 
Yingrui Chen and Mark Elliot (University of Manchester)

Recognising real people in synthetic microdata: risk mitigation and impact on utility
Beata Nowok (University of Edinburgh)

A unified approach to the assessment of both identification and attribution risk
Duncan Smith (University of Manchester)

Data confidentiality and statistical registers in the Macedonian statistical system
Mirjana Boshnjak  (State Statistical Office, The former Yugoslav Republic of Macedonia)

Tabular Data anonymization with Big Data tools. (Secondary Cell Suppression via Tabu search)
Said Khadraoui (Secure Data Access Center)

Location related risk and utility
Peter-Paul de Wolf (Statistics Netherlands)

Secure Research Access in the UK - The Five Safes
Peter Stokes (ONS, the United Kingdom) and Felix Ritchie (University of the West of England)

Best international practices in local contexts
Natalia Volkow (INEGI, Mexico)

Evolution of Statistics Canada Research Data Centers users
Donna Dosman (Statistics Canada)

On-site Service and Safe Output Checking in Japan
Ryo Kikuchi (National Statistics Center, Japan / NTT)

Digital act in France: impact on public statistics
Michel Isnard (INSEE, France)

A Proposal of a Simple and Secure Statistical Processing System using Secret Sharing
Kiyomi Shirakawa (Hitotsubashi University / National Statistics Center, Japan) and Satoshi Takahashi (NTT)

Designing confidentiality training
Felix Ritchie (University of the West of England)

Statistical Confidentiality in the European Business Statistics
Aleksandra Bujnowska (Eurostat)

Center of Excellence on Statistical Disclosure Control
Maël Buron (INSEE, France)

Establishing an Automated Confidentiality Service in Stats NZ
Antony Gomez (Statistics New Zealand)

Harmonization of the protection of social statistics at Statistics Finland
Miika Honkala (Statistics Finland)

On using an improved Benders method for cell suppression
Daniel Baena Mirabete (Universitat Politècnica de Catalunya)

Constrained optimisation for tabular suppression in the Australian Bureau of Statistics
Bernadette Fox (Australian Bureau of Statistics)

Disclosure control that accounts for survey realities: assessing the risk using G-Confid
Peter Wright (Statistics Canada)

Testing CTA as Additivity Module for Perturbed Census 2021 EU Hypercube Data
Sarah Giessing and Tobias Enderle (Destatis,Germany)

The European Census Hub 2011 Hypercubes - Norwegian SDC Experiences
Johan Heldal (Statistics Norway)

The Modernization of Statistical Disclosure Limitation at the U.S. Census Bureau
Aref Dajani (US Census Bureau)

Statistical disclosure control considerations of publishing data on grid squares and territorial units in the application STAGE
Junos Lukan (Statistical Office of the Republic of Slovenia)

Creation of synthetic microdata in 2021 Census Transformation Programme (proof of concept)
Robert Rendell (ONS, the United Kingdom)

Secure statistical computation system on encrypted data: An empirical study of secure regression analysis for official statistics
Satoshi Takahashi (NTT)

Progress towards a table builder with in-built disclosure control for 2021 Census
Keith Spicer (ONS, the United Kingdom)