The SPRING lab strives to make public all the software we produce in our projects to ensure that it can be used by other researchers and by the industry.
Our projects can be found in the SPRING GitHub page. The group has also been heavily involved in these other two projects: DP3T and CrowdNotifier.
Some examples or our work:
A library for running membership inference attacks against ML models.
A framework to evaluate the privacy and utility of synthetic data
A light version of Tor portable to the browser.
Zero-Knowledge Swiss Knife: a compiler for zero knowledge proofs
Evaluation code for mobile crowdsourcing privacy
A python library to facilitate anonymous authentication.
A library and experiments to attack machine learning in discrete domains
Sublinear-traversal blockchains and efficient key-value Merkle trees
A python wrapper around RELIC pairings