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asl
zkTax is a zero-knowledge tax disclosure system that allows individuals to make provable claims about select information in their tax retur…
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make t…
Door-to-door drone package deliveries are taking off across the US. In this work we expose and study a newly emerging privacy is…
There is a continuous and ubiquitous collection of precise, timestamped, geolocation data from apps and devices, being amassed by private f…
This project was selected to represent MIT at the Microsoft Design Expo 2020 on ‘Healthier Futures.’ iNonymizeA tele-mental health pla…
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact trac…
As bikes navigate city streets after dark, they are often equipped with lights. The lights make the bikes visible to cars or other bikers, …
Papers from SafePaths: https://github.com/PrivateKit/PrivacyDocumentsSafe Paths is an MIT-led, free, open source technology that …
Split Learning: Distributed deep learning without sharing raw data Project Page: https://splitlearning.github.io/Abstract: C…
We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. Th…
As of August 2020, Ring has active partnerships with over 1400 law enforcement agencies across the US. These partnerships allow law enforce…
Governments and researchers around the world are implementing digital contact tracing solutions to stem the spread of infectious disease, n…
Policymakers, practitioners, and researchers are grappling with some herculean questions regarding kids' safety online. Homemade slime…
Open Algorithms (OPAL)
Leveraging the power of platforms, big data, and advanced analytics for species protection and the public good in a privacy-preserving, sca…