The following is a summary of the paper "Inferential Privacy Guarantees for Differentially Private Mechanisms", presented at the Eighth Innovations in Theoretical Computer Science Conference in January 2017. The full version of the paper can be found on arXiv at the URL https://arxiv.org/abs/1603.01508.
@InProceedings{ghosh_et_al:LIPIcs.ITCS.2017.9, author = {Ghosh, Arpita and Kleinberg, Robert}, title = {{Inferential Privacy Guarantees for Differentially Private Mechanisms}}, booktitle = {8th Innovations in Theoretical Computer Science Conference (ITCS 2017)}, pages = {9:1--9:3}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-029-3}, ISSN = {1868-8969}, year = {2017}, volume = {67}, editor = {Papadimitriou, Christos H.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2017.9}, URN = {urn:nbn:de:0030-drops-81451}, doi = {10.4230/LIPIcs.ITCS.2017.9}, annote = {Keywords: differential privacy, statistical inference, statistical mechanics} }
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