%0 Generic
%1 narayanan-2006
%A Narayanan, Arvind
%A Shmatikov, Vitaly
%D 2006
%K Preis anonymity dataset netflix prize recommender
%T How To Break Anonymity of the Netflix Prize Dataset
%U http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0610105
%X 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.