• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 29 matches

• 2024
• 
  Mohamed Aghaddar, Liu Nuo Su, Manel Slokom, Lucas Barnhoorn, Peter-Paul de Wolf:
  A Case Study Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics. PSD 2024: 420-435
• 
  Hanna Brenzel, Martin Palm, Jan Weymeirsch, Ralf T. Münnich:
  Privacy and Disclosure Risks in Spatial Dynamic Microsimulations. PSD 2024: 310-326
• 
  James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
  Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. PSD 2024: 67-83
• 
  Simon Cremer, Lydia Jehmlich, Rainer Lenz:
  Masking Georeferenced Health Data - An Analysis Taking the Example of Partially Synthetic Data on Sleep Disorder. PSD 2024: 297-309
• 
  Giuseppe D'Acquisto, Aloni Cohen, Maurizio Naldi, Kobbi Nissim:
  From Isolation to Identification. PSD 2024: 3-17
• 
  Mark J. Elliot, Claire Little, Richard Allmendinger:
  The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. PSD 2024: 144-157
• 
  Emma Fössing, Jörg Drechsler:
  An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity. PSD 2024: 178-193
• 
  Paul Francis:
  A Comparison of SynDiffix Multi-table Versus Single-table Synthetic Data. PSD 2024: 161-177
• 
  Elizabeth Green, Felix Ritche, Paul White:
  The statbarn: A New Model for Output Statistical Disclosure Control. PSD 2024: 284-293
• 
  James Jackson, Robin Mitra, Brian Francis, Iain Dove:
  Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables. PSD 2024: 102-112
• 
  Simon Xi Ning Kolb, Jui Andreas Tang, Sarah Giessing:
  Synthetic Data: Comparing Utility and Risk in Microdata and Tables. PSD 2024: 225-239
• 
  Saloni Kwatra, Vicenç Torra:
  DISCOLEAF: Personalized DIScretization of COntinuous Attributes for LEArning with Federated Decision Trees. PSD 2024: 344-357
• 
  Øyvind Langsrud:
  Secondary Cell Suppression by Gaussian Elimination: An Algorithm Suitable for Handling Issues with Zeros and Singletons. PSD 2024: 87-101
• 
  Jonathan Latner, Marcel Neunhoeffer, Jörg Drechsler:
  Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator. PSD 2024: 115-128
• 
  Marko Miletic, Murat Sariyar:
  Assessing the Potentials of LLMs and GANs as State-of-the-Art Tabular Synthetic Data Generation Methods. PSD 2024: 374-389
• 
  Krishnamurty Muralidhar, Steven Ruggles:
  Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census. PSD 2024: 393-402
• 
  Guillermo Navarro-Arribas, Vicenç Torra:
  Attribute Disclosure Risk in Smart Meter Data. PSD 2024: 274-283
• 
  Anna Oganian, Jörg Drechsler, Mehtab Iqbal:
  Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling. PSD 2024: 129-143
• 
  Katariina Perkonoja, Joni Virta:
  Asymptotic Utility of Spectral Anonymization. PSD 2024: 51-66
• 
  Gillian M. Raab:
  Privacy Risk from Synthetic Data: Practical Proposals. PSD 2024: 254-273
• 
  David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
  An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. PSD 2024: 213-224
• 
  Manel Slokom, Shruti Agrawal, Nynke C. Krol, Peter-Paul de Wolf:
  Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office. PSD 2024: 403-419
• 
  Takumi Sugiyama, Hiroto Oosugi, Io Yamanaka, Kazuhiro Minami:
  Utility Analysis of Differentially Private Anonymized Data Based on Random Sampling. PSD 2024: 35-47
• 
  Oscar Thees, Jirí Novák, Matthias Templ:
  Evaluation of Synthetic Data Generators on Complex Tabular Data. PSD 2024: 194-209
• 
  Ryotaro Toma, Hiroaki Kikuchi:
  Combinations of AI Models and XAI Metrics Vulnerable to Record Reconstruction Risk. PSD 2024: 329-343
• 
  Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic:
  Differentially Private Quantile Regression. PSD 2024: 18-34
• 
  Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz:
  Synthetic Data Outliers: Navigating Identity Disclosure. PSD 2024: 240-253
• 
  Oualid Zari, Javier Parra-Arnau, Ayse Ünsal, Melek Önen:
  Node Injection Link Stealing Attack. PSD 2024: 358-373
• 
  Josep Domingo-Ferrer, Melek Önen:
  Privacy in Statistical Databases - International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings. Lecture Notes in Computer Science 14915, Springer 2024, ISBN 978-3-031-69650-3 [contents]