Secure Personalization: Towards Trustworthy Recommender Systems* [1/16]

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Publicly-accessible adaptive systems such as recommender systems present a security problem. Attackers, who cannot be readily distinguished from ordinary users, may introduce biased data in an attempt to force the system to ΓÇ£adapt







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microsoft research