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Work Session on Statistical Data Confidentiality

Work Session on Statistical Data Confidentiality

20 - 22 September 2017
Skopje North Macedonia
 
Document Title
Documents Presentations
ENG  
  Tentative Timetable PDF  
  Information Note 1 PDF  
  Information Note 2 PDF  
  Final report PDF  
       
  Latex template ZIP  
  MS Word template DOCX  
       
  Topic 1: Utility and disclosure risk in anonymised data    
  Introduction to topic   PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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)

PDF PDF
 

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

PDF PDF
       
  Topic 2: Microdata and output protection    
  Introduction to topic   PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
       
  Topic 3: Confidentiality of big data and special types of data    
  Introduction to topic   PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
       
  Topic 4: Access to microdata    
  Introduction to topic   PDF
 

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

  PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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)

PDF PDF
 

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

PDF PDF
       
  Topic 5: Methods and tools for tabular data protection    
  Introduction to topic   PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
       
  Topic 6: Census 2021 - Confidentiality issues    
  Introduction to topic   PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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)

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
 

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

PDF PDF
       
  Topic 7: Public use files / open data - Future availability of information    
  Introduction to topic   PDF
  Public use files - are they obsolete
Tanvi Desai  (University of Essex)
  PDF
  Open data - High impact or struggle to access?
Blagica Petreski (Finance Think)
  PDF
  Open data: who needs it?
Felix Ritchie (University of the West of England)
  PDF