Privug: Using Probabilistic Programming for Quantifying Leakage in Privacy Risk Analysis

Disclosure of data analytics results has important scientific and commercial justifications. However, no shall be disclosed without a diligent investigation risks for privacy subjects. Privug is tool-supported method to explore information leakage properties anonymization programs. In Privug, we reinterpret program probabilistically, using off-the-shelf tools Bayesian inference perform information-theoretic analysis the flow. For researchers, provides fast, lightweight way experiment with protection measures mechanisms. We show that accurate, scalable, applicable range scenarios.