If you wish to register to attend this meeting, you may do so via the following website: https://indico.un.org/e/SDC2023
Practical information for participants
Please refer to the details contained within Information Notice 2, below.
If you wish to register to attend this meeting, you may do so via the following website: https://indico.un.org/e/SDC2023
Please refer to the details contained within Information Notice 2, below.
An overview of data protection strategies for individual-level geocoded data, Institute for Employment Research (IAB) |
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Smoothing the way for secure data access using synthetic data, Administrative Data Research UK |
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Overview of the AnigeD Project and Potentials of Dataset Synthetization for Official Statistics and Research, DESTATIS, Germany |
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Study and analysis for the elaboration and dissemination of microdata of sociodemographic information, Basque Statistics Office, Spain |
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Protecting High-Resolution Poverty Statistics against Disclosure using Differential Privacy, Swiss Federal Statistical Office |
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An overview of used methods to protect the European Census 2021 tables, Statistics Netherlands |
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A Disclosure-Based Framework for Comparing Frequency Table Protection, Statistics Norway |
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Spatial SDC experiments and evaluations – multiple countries comparison, Statistics Austria |
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What is Reconstruction and Reidentification? Illustrations from the 2010 US Census Tabular Data Release, University of Oklahoma USA |
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The Potential of Differential Privacy Applied to Detailed Statistical Tables Created Using Microdata from the Japanese Population Census, Chuo University Japan |
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Assessing the utility of synthetic data: A density ratio perspective, Utrecht University, Statistics Netherlands |
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Intruder testing for Census 2021 England and Wales– checking risk and utility in Build Your Own system, Office for National Statistics, UK |
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Making Attribute Information of Synthetic Data Interpretable With the Aggregation Equivalence Level, Ministry of Education, Culture and Science, Netherlands |
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Generating Synthetic Microdata and Assessing Statistical Disclosure Risk Measures, World Bank |
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Do samples of synthetic microdata population replicate the relationship between samples taken from an original population and that population? University of Manchester, UK |
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Confidence-ranked reconstruction of census records does not reflect privacy risks or reidentifiability, Universitat Rovira i Virgili |
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Differential privacy for microdata, World Bank |
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The case of bounds in noisy protection methods: Selected risk and utility perspectives from official population statistics, Eurostat |
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Dissemination of agricultural geo-referenced data within the context of the 50x30 initiative: an overview of the tradeoff between disclosure risk and data utility, United Nations Food and Agriculture Organization |
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A Case Study of Output Checking in Japan, National Statistics Center |
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Towards a comprehensive theory and practice of output SDC, University of the West of England, UK |
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COACH: COmputer-Assisted output CHecking with Human-in-the-Loop, Statistics Netherlands |
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SACRO: semi-automated output checking, University of the West of England, UK |
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Checking Data Outputs from Research Works: a Mixed Method with AI and Human Control, CASD Secure data hub |
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SDC in statistical education - the Polish experience, Statistical Office in Poznań, Poland |
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Experiments on Federated Data Synthesis, University of Manchester, UK |
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Insights into privacy-preserving federated machine learning from the perspective of a national statistical office, ISTAT, Italy |
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The risk of identity disclosure through network structure: anecdotal evidence from a hackathon, Statistics Netherlands |
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Disclosure control issues in complex medical data, University of the West of England, UK |
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