BibTeX Export for Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation

Copy to Clipboard Download

@InProceedings{talwar:LIPIcs.FORC.2022.7,
  author =	{Talwar, Kunal},
  title =	{{Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation}},
  booktitle =	{3rd Symposium on Foundations of Responsible Computing (FORC 2022)},
  pages =	{7:1--7:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-226-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{218},
  editor =	{Celis, L. Elisa},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2022.7},
  URN =		{urn:nbn:de:0030-drops-165302},
  doi =		{10.4230/LIPIcs.FORC.2022.7},
  annote =	{Keywords: Zero Knowledge, Secure Summation, Differential Privacy}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail