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Displaying Results 1161 - 1180 of 9102
The case of bounds in noisy protection methods: Selected risk and utility perspectives from official population statistics, Eurostat
Confidence-ranked reconstruction of census records does not reflect privacy risks or reidentifiability, Universitat Rovira i Virgili
Do samples of synthetic microdata population replicate the relationship between samples taken from an original population and that population? University of Manchester
Assessing the utility of synthetic data: A density ratio perspective, Netherlands
The Potential of Differential Privacy Applied to Detailed Statistical Tables Created Using Microdata from the Japanese Population Census , Chuo University, Japan
What is Reconstruction and Reidentification? Illustrations from the 2010 US Census Tabular Data Release, University of Oklahoma
Spatial SDC experiments and evaluations – multiple countries comparison, Statistics Austria
(GRSG) - Proposal for Supplement 2 to the original version of the UN Regulation No. 160 (Event Data Recorder)
ECE/TRANS/WP.29/2023/101
Experiments on Federated Data Synthesis, University of Manchester
SDC in statistical education - the Polish experience, Statistics Poland
(GRSG) - Proposal for Supplement 7 to the original version of UN Regulation No. 122 (Heating systems)
ECE/TRANS/WP.29/2023/100
Checking Data Outputs from Research Works: a Mixed Method with AI and Human Control, CASD Secure Data Hub
SACRO: semi-automated output checking, University of the West of England
(Germany) - Proposals for a new supplement to UN Regulation No. 53 and for a new supplement to UN Regulation No. 149
ECE/TRANS/WP.29/GRE/2023/17
(GRSG) - Proposal for Supplement 5 to the original version of the UN Regulation No. 162 (Immobilizers)
ECE/TRANS/WP.29/2023/104
(GRSG) - Proposal for Supplement 4 to the original version of the UN Regulation No. 161 (Devices against Unauthorized Use)
ECE/TRANS/WP.29/2023/103
(GRSG) - Proposal for Supplement 2 to the 01 series of amendments to UN Regulation No. 160 (Event Data Recorder)
ECE/TRANS/WP.29/2023/102
Disclosure control issues in complex medical data, University of the West of England
The risk of identity disclosure through network structure: anecdotal evidence from a hackathon, Statistics Netherlands
Insights into privacy-preserving federated machine learning from the perspective of a national statistical office, ISTAT
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