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Privacy Guarantees and Risk Identification: Statistical Framework and Methodology
A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment of risk, to produce safe data in context of the environment in which it will be used. We also need adapt the methods of statistical disclosure control to such an updated approach.
Faculty Supervisor:
Rafal Kulik
Student:
Devyani Biswal
Partner:
Privacy Analytics
Discipline:
Statistics / Actuarial sciences
Sector:
Information and communications technologies
University:
University of Ottawa
Program:
Accelerate
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