; Hand this in to:   tdumitra@umiacs.umd.edu


; Required Readings

@inproceedings{Netflix,
  Abstract =	 {We present a new class of statistical
                  de-anonymization attacks against high-dimensional
                  micro-data, such as individual preferences,
                  recommendations, transaction records and so on. Our
                  techniques are robust to perturbation in the data
                  and tolerate some mistakes in the adversary's
                  background knowledge. We apply our de-anonymization
                  methodology to the Netflix Prize dataset, which
                  contains anonymous movie ratings of 500,000
                  subscribers of Netflix,the world's largest online
                  movie rental service. We demonstrate that an
                  adversary who knows only a little bit about an
                  individual subscriber can easily identify this
                  subscriber's record in the dataset. Using the
                  Internet Movie Database as the source of background
                  knowledge, we successfully identified the Netflix
                  records of known users, uncovering their apparent
                  political preferences and other potentially
                  sensitive information.},
  Author =	 {Arvind Narayanan and Vitaly Shmatikov},
  Bibsource =	 {DBLP, http://dblp.uni-trier.de},
  Booktitle =	 {IEEE Symposium on Security and Privacy},
  Crossref =	 {DBLP:conf/sp/2008},
  Pages =	 {111-125},
  Title =	 {Robust De-anonymization of Large Sparse Datasets},
  Year =	 {2008},
  studentfirstname ="",
  studentlastname ="",
  summary =	 "",
  contribution1 ="",
  contribution2 ="",
  contribution3 ="",
  contribution4 ="",
  contribution5 ="",
  weakness1 =	 "",
  weakness2 =	 "",
  weakness3 =	 "",
  weakness4 =	 "",
  weakness5 =	 "",
  interesting =	 "high/med/low",
  opinions =	 "",
}

@inproceedings{Tor,
  Author =	 {Roger Dingledine and Nick Mathewson and Paul
                  F. Syverson},
  Bibsource =	 {DBLP, http://dblp.uni-trier.de},
  Booktitle =	 {USENIX Security Symposium},
  Crossref =	 {DBLP:conf/uss/2004},
  Pages =	 {303-320},
  Title =	 {Tor: The Second-Generation Onion Router},
  Year =	 {2004},
  studentfirstname ="",
  studentlastname ="",
  summary =	 "",
  contribution1 ="",
  contribution2 ="",
  contribution3 ="",
  contribution4 ="",
  contribution5 ="",
  weakness1 =	 "",
  weakness2 =	 "",
  weakness3 =	 "",
  weakness4 =	 "",
  weakness5 =	 "",
  interesting =	 "high/med/low",
  opinions =	 "",
}



; BibTex cross-references (don't add anything here)

@proceedings{DBLP:conf/sp/2008,
  Bibsource =	 {DBLP, http://dblp.uni-trier.de},
  Booktitle =	 {IEEE Symposium on Security and Privacy},
  Date-Added =	 {2013-10-11 20:19:27 +0000},
  Date-Modified ={2013-10-11 20:19:27 +0000},
  Publisher =	 {IEEE Computer Society},
  Title =	 {2008 IEEE Symposium on Security and Privacy (S{\&}P
                  2008), 18-21 May 2008, Oakland, California, USA},
  Year =	 {2008}
}

@proceedings{DBLP:conf/uss/2004,
  Bibsource =	 {DBLP, http://dblp.uni-trier.de},
  Booktitle =	 {USENIX Security Symposium},
  Date-Added =	 {2013-10-11 20:16:35 +0000},
  Date-Modified ={2013-10-11 20:16:35 +0000},
  Publisher =	 {USENIX},
  Title =	 {Proceedings of the 13th USENIX Security Symposium,
                  August 9-13, 2004, San Diego, CA, USA},
  Year =	 {2004}
}