In the past year, a number of large technology companies has introduced forms of differential privacy into their systems. "If you've done a little homework on differential privacy," writes Paul Francis, a researcher at the Max Planck Institute for Software Systems and co-founder of Aircloak, "you may have learned that it provides provable guarantees of privacy and concluded that a database that is differentially private is, well, private. In other words, that it protects individual privacy. But that isn’t necessarily the case. When someone says, 'a database is differentially private,' they don’t mean that the database is private. Rather, they mean, 'the privacy of the database can be measured.'" In this post for Privacy Tech, Francis shares introductory thoughts on differential privacy, as well as some questions privacy pros should consider. 
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