We ask the question ? how can websites and data aggregators continually release updated statistics, and meanwhile preserve each individual user's privacy? We propose a differ...
Cynthia Dwork, Moni Naor, Toniann Pitassi and Guy ...
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
We study the role that privacy-preserving algorithms, which prevent the leakage of specific information about participants, can play in the design of mechanisms for strategic age...
Data privacy has been an important research topic in the security, theory and database communities in the last few decades. However, many existing studies have restrictive assumpt...
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...