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ORCIDPSD 2020: Tarragona, Spain
- Josep Domingo-Ferrer, Krishnamurty Muralidhar:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings. Lecture Notes in Computer Science 12276, Springer 2020, ISBN 978-3-030-57520-5
Privacy Models
- Nicolás Ruiz:
Pα , β-Privacy: A Composable Formulation of Privacy Guarantees for Data Publishing Based on Permutation. 3-20 - Krishnamurty Muralidhar, Josep Domingo-Ferrer
, Sergio Martínez:
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). 21-31 - Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto:
A Bayesian Nonparametric Approach to Differentially Private Data. 32-48 - Chris Clifton, Eric J. Hanson, Keith Merrill, Shawn Merrill, Amjad Zahraa:
A Partitioned Recoding Scheme for Privacy Preserving Data Publishing. 49-61 - Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván:
Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. 62-73 - Vaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal:
Utility-Enhancing Flexible Mechanisms for Differential Privacy. 74-90 - David Sidi, Jane Bambauer:
Plausible Deniability. 91-105
Microdata Protection
- Anne-Sophie Charest, Leila Nombo:
Analysis of Differentially-Private Microdata Using SIMEX. 109-120 - Tanja Sarcevic, David Molnar, Rudolf Mayer:
An Analysis of Different Notions of Effectiveness in k-Anonymity. 121-135 - Anna Oganian, Ionut Iacob, Goran Lesaja:
Multivariate Top-Coding for Statistical Disclosure Limitation. 136-148
Protection of Statistical Tables
- Tobias Enderle, Sarah Giessing, Reinhard Tent:
Calculation of Risk Probabilities for the Cell Key Method. 151-165 - Goran Lesaja, Ionut Iacob, Anna Oganian:
On Different Formulations of a Continuous CTA Model. 166-179
Protection of Interactive and Mobility Databases
- Eyal Nussbaum, Michael Segal:
Privacy Analysis of Query-Set-Size Control. 183-194 - Douwe Hut, Jasper Goseling, Marie-Colette van Lieshout, Peter-Paul de Wolf, Edwin de Jonge:
Statistical Disclosure Control When Publishing on Thematic Maps. 195-205
Record Linkage and Alternative Methods
- Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts:
Bayesian Modeling for Simultaneous Regression and Record Linkage. 209-223 - Ted Enamorado, Rebecca C. Steorts:
Probabilistic Blocking and Distributed Bayesian Entity Resolution. 224-239 - Jörg Drechsler, Benjamin Klein:
Secure Matrix Computation: A Viable Alternative to Record Linkage? 240-254
Synthetic Data
- Claire McKay Bowen, Victoria Bryant, Leonard Burman, Surachai Khitatrakun, Robert McClelland, Philip Stallworth, Kyle Ueyama, Aaron R. Williams:
A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications. 257-270 - Natalie Shlomo:
Integrating Differential Privacy in the Statistical Disclosure Control Tool-Kit for Synthetic Data Production. 271-280 - Satkartar K. Kinney, Charlotte B. Looby, Feng Yu:
Advantages of Imputation vs. Data Swapping for Statistical Disclosure Control. 281-296
Data Quality
- Olga Dziegielewska:
Evaluating Quality of Statistical Disclosure Control Methods - VIOLAS Framework. 299-308 - Najeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. 309-320
Case Studies
- Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr:
Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. 323-336 - Shinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada:
Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population Census. 337-352 - David Van Riper, Tracy A. Kugler, Steven Ruggles:
Disclosure Avoidance in the Census Bureau's 2010 Demonstration Data Product. 353-368
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