A Bayesian-optimization-based 'strategic querying' method recovers nearly all non-privacy-preserving targeting value from limited, noisy aggregate queries in simulations and on Criteo data.
Linear Program Reconstruction in Practice
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abstract
We briefly report on a successful linear program reconstruction attack performed on a production statistical queries system and using a real dataset. The attack was deployed in test environment in the course of the Aircloak Challenge bug bounty program and is based on the reconstruction algorithm of Dwork, McSherry, and Talwar. We empirically evaluate the effectiveness of the algorithm and a related algorithm by Dinur and Nissim with various dataset sizes, error rates, and numbers of queries in a Gaussian noise setting.
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Blind Targeting: Personalization under Third-Party Privacy Constraints
A Bayesian-optimization-based 'strategic querying' method recovers nearly all non-privacy-preserving targeting value from limited, noisy aggregate queries in simulations and on Criteo data.