Private Data Analysis via Output Perturbation - A Rigorous Approach to Constructing Sanitizers and Privacy Preserving Algorithms

@incollection{DBLP:series/ads/Nissim08,
  author = {Nissim, Kobbi},
  editor = {Aggarwal, Charu C. and Yu, Philip S.},
  title = {Private Data Analysis via Output Perturbation - \emph{A Rigorous Approach
                    to Constructing Sanitizers and Privacy Preserving Algorithms}},
  booktitle = {Privacy-Preserving Data Mining - Models and Algorithms},
  series = {Advances in Database Systems},
  volume = {34},
  pages = {383--414},
  publisher = {Springer},
  year = {2008},
  url = {https://doi.org/10.1007/978-0-387-70992-5\_16},
  doi = {10.1007/978-0-387-70992-5\_16},
  timestamp = {Tue, 16 May 2017 14:24:24 +0200},
  biburl = {https://dblp.org/rec/series/ads/Nissim08.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}