My colleague José Calderón wrote a blog post about Measuring the Privacy of Computations about some work we did as part of the DARPA Brandeis program.

Secure computation enables users to compute some result without revealing the inputs. Privacy schemes that are shown to only reveal outputs are said to have input privacy. However, learning these outputs still tells you something about the private inputs. The important question is: “how much?”

The implementation for the luigi-qif tool mentioned in this post is available on GitHub.