2 papers
cs.CR2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh, Shruti Tople, Fabrice Benhamouda +3
We propose Falcon, an end-to-end 3-party protocol for efficient private training and inference of large machine learning models. Falcon presents four main advantages - (i) It is hi…
cs.CY2016
Towards a Privacy Research Roadmap for the Computing Community
Lorrie Cranor, Tal Rabin, Vitaly Shmatikov +2
Great advances in computing and communication technology are bringing many benefits to society, with transformative changes and financial opportunities being created in health care…