Differential privacy under continual observation

  title={Differential privacy under continual observation},
  author={Cynthia Dwork and Moni Naor and Toniann Pitassi and Guy N. Rothblum},
Differential privacy is a recent notion of privacy tailored to privacy-preserving data analysis [11]. Up to this point, research on differentially private data analysis has focused on the setting of a trusted curator holding a large, static, data set; thus every computation is a "one-shot" object: there is no point in computing something twice, since the result will be unchanged, up to any randomness introduced for privacy. However, many applications of data analysis involve repeated… CONTINUE READING
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