After successful completion of Phase I, Stealth was selected for Phase II funding to continue working on the Lilac-SL program for lifting automated language lifting from legacy to modern (secure) languages. Read more about our solution on our SALSA project page.
As part of a seedling project of our WIZKIT efforts under the SIEVE program, Stealth has received additional funding to pursue technology targeting zero-knowledge applications within the healthcare sector. Namely, cryptographic tools such as ZK and MPC can be employed to link and aggregate health records from multiple hospitals, allowing for their joint analysis while …
Congratulations to the Stealth team, who as part of the DARPA Brandeis program, will develop a test program to securely compute statistical reports on educational trends, in collaboration with the Virginia Longitudinal Data System. More can be read about our work on this program on the VLDS project page.