Published in: LIPIcs, Volume 77, 33rd International Symposium on Computational Geometry (SoCG 2017)
Assimakis Kattis and Aleksandar Nikolov. Lower Bounds for Differential Privacy from Gaussian Width. In 33rd International Symposium on Computational Geometry (SoCG 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 77, pp. 45:1-45:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
@InProceedings{kattis_et_al:LIPIcs.SoCG.2017.45, author = {Kattis, Assimakis and Nikolov, Aleksandar}, title = {{Lower Bounds for Differential Privacy from Gaussian Width}}, booktitle = {33rd International Symposium on Computational Geometry (SoCG 2017)}, pages = {45:1--45:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-038-5}, ISSN = {1868-8969}, year = {2017}, volume = {77}, editor = {Aronov, Boris and Katz, Matthew J.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2017.45}, URN = {urn:nbn:de:0030-drops-72368}, doi = {10.4230/LIPIcs.SoCG.2017.45}, annote = {Keywords: differential privacy, convex geometry, lower bounds, sample complexity} }
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