<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://mpc.cs.berkeley.edu/</id><title>MPC Deployments</title><subtitle></subtitle> <updated>2025-03-19T21:02:20+00:00</updated> <author> <name>Darya Kaviani</name> <uri>https://mpc.cs.berkeley.edu/</uri> </author><link rel="self" type="application/atom+xml" href="https://mpc.cs.berkeley.edu/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://mpc.cs.berkeley.edu/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2025 Darya Kaviani </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Privacy-preserving monitoring of toddlers to early detect development delays</title><link href="https://mpc.cs.berkeley.edu/posts/Monitoring-Toddlers-with-MPC/" rel="alternate" type="text/html" title="Privacy-preserving monitoring of toddlers to early detect development delays" /><published>2025-02-17T14:09:00+00:00</published> <updated>2025-02-17T14:09:00+00:00</updated> <id>https://mpc.cs.berkeley.edu/posts/Monitoring-Toddlers-with-MPC/</id> <content src="https://mpc.cs.berkeley.edu/posts/Monitoring-Toddlers-with-MPC/" /> <author> <name>niek</name> </author> <category term="Private Analytics" /> <category term="Social Good" /> <summary> The Municipality of Rotterdam in the Netherlands uses Roseman Labs’ MPC platform to provide additional educational support in a timely manner to toddlers with developmental delays, so they can start their school career without falling behind. The municipality of Rotterdam has a statutory duty to ensure sufficient pre-school provision across the city for toddlers with (a risk of) a language and... </summary> </entry> <entry><title>Cursive Consumer Private Overlap</title><link href="https://mpc.cs.berkeley.edu/posts/Cursive-Consumer-Private-Overlap/" rel="alternate" type="text/html" title="Cursive Consumer Private Overlap" /><published>2025-01-26T20:00:00+00:00</published> <updated>2025-02-03T05:05:58+00:00</updated> <id>https://mpc.cs.berkeley.edu/posts/Cursive-Consumer-Private-Overlap/</id> <content src="https://mpc.cs.berkeley.edu/posts/Cursive-Consumer-Private-Overlap/" /> <author> <name>vivek</name> </author> <category term="Consumer" /> <category term="Human Connection" /> <summary> Cursive built demos of private set intersection between two consumer’s sets of personal data: contacts, event attendance, emails, personality quizzes, hiring compatibility and more. The initial demos used a combination of MPC and FHE implemented in https://github.com/RiverRuby/2P-PSI. It uses interactive multi-party BFV to do a dot-product between two bitvectors to discover overlap. This was d... </summary> </entry> <entry><title>Worldcoin Uniqueness Check</title><link href="https://mpc.cs.berkeley.edu/posts/Worldcoin-Uniqueness-Check/" rel="alternate" type="text/html" title="Worldcoin Uniqueness Check" /><published>2024-05-16T04:00:00+00:00</published> <updated>2024-05-16T14:54:26+00:00</updated> <id>https://mpc.cs.berkeley.edu/posts/Worldcoin-Uniqueness-Check/</id> <content src="https://mpc.cs.berkeley.edu/posts/Worldcoin-Uniqueness-Check/" /> <author> <name>remco</name> </author> <category term="Biometric" /> <summary> Verified World ID users can prove that they are a unique human being without revealing who they are. To achieve this, the system makes sure the user has not signed up before during sign up by applying the Daugman iris code method, which relies on the inherent uniqueness of irises. The verification of iris code uniqueness happens in MPC. Iris codes are encrypted as secret shares and distributed... </summary> </entry> <entry><title>VaultDB: A Deployment of Secure Multiparty Computation for Clinical Research</title><link href="https://mpc.cs.berkeley.edu/posts/VaultDB-Hypertension-Study/" rel="alternate" type="text/html" title="VaultDB: A Deployment of Secure Multiparty Computation for Clinical Research" /><published>2023-08-26T10:30:00+00:00</published> <updated>2024-05-15T19:52:24+00:00</updated> <id>https://mpc.cs.berkeley.edu/posts/VaultDB-Hypertension-Study/</id> <content src="https://mpc.cs.berkeley.edu/posts/VaultDB-Hypertension-Study/" /> <author> <name>jennie</name> </author> <category term="Healthcare" /> <category term="Private Analytics" /> <summary> VaultDB is a federated database for running SQL queries over secure multiparty computation. In this study, we deployed VaultDB within three healthcare institutions in the Chicago metropolitan area to compute a public health study identifying underserved communities of hypertension sufferers stratified by their gender, ethnicity, and race. It also calculates the percentage of patients with fra... </summary> </entry> <entry><title>NCSC-NL SecureNed</title><link href="https://mpc.cs.berkeley.edu/posts/Crypto-SecureNed/" rel="alternate" type="text/html" title="NCSC-NL SecureNed" /><published>2023-07-25T14:00:00+00:00</published> <updated>2024-05-15T19:52:24+00:00</updated> <id>https://mpc.cs.berkeley.edu/posts/Crypto-SecureNed/</id> <content src="https://mpc.cs.berkeley.edu/posts/Crypto-SecureNed/" /> <author> <name>meilof</name> </author> <category term="Private Analytics" /> <summary> NCSC-NL accelerates the collection and distribution of sensitive cyber threat intel, by offering a safe, and privacy-preserving environment for participants to share information with each other. Participants are able to accessibly report digital attacks by completing short surveys. SecureNed uses an MPC protocol developed by Roseman Labs to collect private analytics on participant data. Partic... </summary> </entry> </feed>
