pdf-format: |
|
@InProceedings{alvim_et_al:LIPIcs:2020:12813, author = {M{\'a}rio S. Alvim and Natasha Fernandes and Annabelle McIver and Gabriel H. Nunes}, title = {{On Privacy and Accuracy in Data Releases (Invited Paper)}}, booktitle = {31st International Conference on Concurrency Theory (CONCUR 2020)}, pages = {1:1--1:18}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-160-3}, ISSN = {1868-8969}, year = {2020}, volume = {171}, editor = {Igor Konnov and Laura Kov{\'a}cs}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12813}, URN = {urn:nbn:de:0030-drops-128130}, doi = {10.4230/LIPIcs.CONCUR.2020.1}, annote = {Keywords: Privacy/utility trade-off, Quantitative Information Flow, inference attacks} }
Keywords: | Privacy/utility trade-off, Quantitative Information Flow, inference attacks | |
Seminar: | 31st International Conference on Concurrency Theory (CONCUR 2020) | |
Issue date: | 2020 | |
Date of publication: | 26.08.2020 |