%0 %0 Generic %A Narayanan, Arvind & Shmatikov, Vitaly %D 2006 %T How To Break Anonymity of the Netflix Prize Dataset %E %B %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 [cs/0610105] How To Break Anonymity of the Netflix Prize Dataset %3 misc %4 %# %$ %F narayanan-2006 %K Preis, anonymity, dataset, netflix, prize, recommender %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. %Z %U http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0610105 %+ %^