Mayank Varia, Benjamin Price, Nicholas Hwang, Ariel Hamlin, Jonathan C. Herzog, Jill Poland, Michael Reschly, Sophia Yakoubov, R. Cunningham
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This work presents the results of a three-year project that assessed nine different privacy-preserving data search systems. We detail the design of a software assessment framework that focuses on low system footprint, repeatability, and reusability. A unique achievement of this project was the automation and integration of the entire test process, from the production and execution of tests to the generation of human-readable evaluation reports. We synthesize our experiences into a set of simple mantras that we recommend following in the design of any assessment framework.
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