InterPARES Trust AI - Artificial Intelligence

Citations

Ohm 2010 (†679)
Ohm, Paul. "Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization." UCLA Law Review 57 (2010), p. 1701-1777.
URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1450006

data anonymization (p. 1707): The reverse of anonymization is reidentification or deanonymization. A person, known in the scientific literature as an adversary, reidentifies anonymized data by linking anonymized records to outside information, hoping to discover the true identity of the data subjects. (†1555)
de-anonymization (p. 1705): Reidentification combines datasets that were meant to be kept apart, and in doing so, gains power through accretion: Every successful reidentification, even one that reveals seemingly nonsensitive data like movie ratings, abets future reidentification. Accretive reidentification makes all of our secrets fundamentally easier to discover and reveal. (†1552)
de-anonymization (p. 1707): Easy reidentification will topple the edifices of promise and expectation we have built upon anonymization. (†1553)
de-anonymization (p. 1707): The reverse of anonymization is reidentification or deanonymization. A person, known in the scientific literature as an adversary, reidentifies anonymized data by linking anonymized records to outside information, hoping to discover the true identity of the data subjects. (†1554)