@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.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}
}