| Document Title | Documents | Presentations | |
|---|---|---|---|
| Provisional Programme | |||
| Information Note 1 | |||
| Information Note 2 | |||
| Report | |||
| Final report for CES | |||
| HLG-MOS and Statistical Data Confidentiality - Taeke Gjaltema (UNECE) |
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| Topic 1: Access to microdata | |||
| Session Organizers: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland) and Steven Thomas (Statistics Canada) | |||
| Microdata access facilities | |||
| Romania NIS – Microdata for scientific purposes. - Lucian Alexandrescu (National Institute of Statistics of Romania) |
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| Joint Safe Centre of the Hungarian Central Statistical Office and the Hungarian Academy of Sciences. - Zoltán Vereczkei (Hungarian Central Statistical Office), János Köllő (Hungarian Academy of Sciences) |
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| Access to microdata in the State Statistical Office of the Republic of North Macedonia. - Mirjana Bosnjak, Slobodan Malevski (State Statistical Office of the Republic of North Macedonia) |
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| Virtual data labs - A more flexible approach to access Statistics Canada microdata. - Kelly Cranswick (Statistics Canada) |
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| Harnessing the potentiality of microdata access risk management model. - Natalia Volkow (INEGI) |
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| Data Confidentiality in ICBS Research Rooms. - Julia Vider (CBS, Israel) |
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| Accessing Data in the ONS Secure Research Service: A Certification Regime for Remote Connectivity. - Andrew Engeli (ONS, UK) |
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| Microdata protection | |||
| Synthetic data generation for anonymization purposes. Application on the Norwegian Survey on living conditions/EHIS. - Johan Heldal and Diana-Cristina Iancu (Statistics Norway) |
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| Statistical Disclosure Control for outputs: A Handbook. - Richard Welpton and Arne Wolters (The Health Foundation), Emily Griffiths (University of Manchester), James Scott and Christine Woods (University of Essex) |
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| A practice guide for microdata anonymization. - Thijs Benschop and Matthew Welch (World Bank) |
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| Training research output checkers. - Felix Ritchie (University of the West of England) |
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| Creation of synthetic microdata using dummy random variables of high dimension statistics based on big data. - Kiyomi Shirakawa, (Institute of Economic Research, Hitotsubashi University) |
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| Topic 2: Tabular data | |||
| Session Organizers: Sarah Giessing (Destatis) | |||
| Concepts for generalising tools implementing the cell key method to the case of continuous variables. - Sarah Giessing and Reinhard Tent (Destatis) |
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| Prodcom disclosure control with non-nested national and european classification. - Maxime Beauté, Maël Buron (Insee) |
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| Using a stabilized Benders algorithm for cell suppression. - Daniel Baena, Jordi Castro and Antonio Frangioni (Universitat Politecnica de Catalunya) |
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| Releasable inner cell frequencies by post-processing protected tabular data. - Øyvind Langsrud (Statistics Norway) |
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| Primary analysis of disclosure risk in tabular data from a Brazilian economic survey. - Samela Batista Arantes and Maysa S. de Magalhaes (Brazilian Institute of Geography and Statistics) |
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| Algorithmic Matching Attacks on Optimally Suppressed Tabular Data. - Kazuhiro Minami (The Institute of Statistical Mathematics, Tokyo) |
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| ABS perturbation methodology through the lens of Differential Privacy. - Joseph Chien (ABS) |
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| Topic 3: Risk assessment | |||
| Session Organizers: Josep Domingo-Ferrer (Universitat Rovira i Virgili), Krish Muralidhar (University of Oklahoma) | |||
| Trade-off between Information Utility and Disclosure Risk in GA Synthetic Data Generator. - Yingrui Chen, Jennifer Taub, Mark Elliot (University of Manchester) |
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| The Synthetic Data Challenge. - Mark Elliot and Jennifer Taub (University of Manchester) |
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| 10 is the safest number that there’s ever been. - Felix Ritchie (University of the West of England) |
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| Connecting privacy models and statistical disclosure control methods through bistochastic anonymization. - Krish Muralidhar (U.Oklahoma), Nicolas Ruiz (OECD), Josep Domingo-Ferrer (URV) |
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| Privacy, confidentiality, disclosure: What is the difference ? - Krish Muralidhar (University of Oklahoma), Rathindra Sarathy (Oklahoma State University) |
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| Topic 4: Emerging issues | |||
| Session Organizers: Josep Domingo-Ferrer (Universitat Rovira i Virgili) | |||
| Comparing methods of safely plotting variables on a map. - Y. (Sapphire) Han, Peter-Paul de Wolf and Edwin de Jonge (Statistics Netherlands) |
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| Privacy Preserving Set Intersection. - Guiseppe Bruno and Diana Nicoletti (Bank of Italy), Monica Scannapieco and Diego Zardetto (Istat) |
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| The Potential of Anonymization Methods for Creating Detailed Geographical Data in Japan. - Shinsuke Ito (Chuo University, Japan) and Masayuki Terada (NTT DOCOMO, INC, Japan) |
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| Protecting consumer privacy in smart metering by randomized response. - Bastian Stölb and Josep Domingo-Ferrer (Universitat Rovira i Virgili) |
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| Statistical confidentiality of agricultural surveys in the context of the AGRISurvey program. Thijs Benschop, - Clara Aida Khalil (FAO) |
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| Topic 5: Framework for confidentiality | |||
| Session Organizers: Aleksandra Bujnowska (Eurostat), Janika Tarkoma (Statistics Finland) | |||
| Understanding personalities in data access decision-making. - Richard Welpton (The Health Foundation) |
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| Successes and Challenges in Increasing Accessibility at Statistics Canada. - Steven Thomas (Statistics Canada) |
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| Evaluation criteria for the selection of a SDC Method. - Christiane Seifert, Johannes Rohde (IT.NRW) and Sarah Giessing (Destatis) |
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| Crisis management – training, practicing and testing. - Janika Tarkoma and Harri Koskinen (Statistics Finland) |
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| Data protection laws and methods in official statistics. - Aleksandra Bujnowska (Eurostat) |
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| Topic 6: Confidentiality issues of the Census 2020/2021 round | |||
| Session Organizers: Eric Schulte Nordholt (Statistics Netherlands) | |||
| A framework for assessing perturbative methods for protection of Census 2021 data at Statistics Portugal. - Ines Rodrigues, Paula Campos and Teresa Fragoso (Statistics Portugal) |
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| Ensuring data confidentiality of All-Russian Population Census 2020. - Anna Troitskaya (Rosstat) |
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| Topic 7: Software tools for statistical data confidentiality | |||
| Session Organizers: Peter-Paul de Wolf (Statistics Netherlands) | |||
| cellKey - consistent perturbation of statistical tables. - Bernhard Meindl (Statistics Austria) and Tobias Enderle (Destatis) |
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| Microdata.no - Safe Access to Register Microdata. - Johan Heldal and Svein Johansen (Statistics Norway), Ørnulf Risnes (Norwegian Centre for Research Data) |
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Work Session on Statistical Data Confidentiality
Work Session on Statistical Data Confidentiality
29 - 31 October 2019
CBS The Hague Netherlands