U.S. PETs Prize Challenge

Privacy-Enhancing Technology prize challenge for financial crime prevention and pandemic forecasting

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. These technologies could advance innovation and collaboration in new fields and help harness the power of data to tackle some of our most pressing societal challenges.

That’s why the U.S. and U.K. governments are partnering to deliver a set of prize challenges to unleash the potential of these democracy-affirming technologies to make a positive impact. In particular, this challenge will tackle two critical problems via separate data tracks: Data Track A will help with the identification of financial crime, while Data Track B will bolster pandemic responses.

By entering the prize challenges, innovators will have the opportunity to compete for cash prizes and engage with regulators and government agencies. Announced at the Summit for Democracy in December 2021, the prize challenges are a product of a collaboration between multiple government departments and agencies on both sides of the Atlantic. Winning solutions will have the opportunity to be profiled at the second Summit for Democracy, to be convened by President Joe Biden, in early 2023.

Phase 1: Concept Paper

COMPETITION ENDED

Phase 1: Concept Paper

competition has ended
$55,000

Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Develop efficient, accurate, and extensible federated learning solutions with strong privacy guarantees for individuals in the data.

MusCAT

1st Place Team
Results

Phase 2: Solution Development – Financial Crime

SUBMISSIONS CLOSED FOR-PRIZE COMPETITION PRE-APPROVAL NEEDED

Phase 2: Financial Crime – Federated

4 days, 19 hours left
$575,000

Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Develop efficient, accurate, and extensible federated learning solutions with strong privacy guarantees for individuals in the data.

Swift-Pets

Current Leaders
Compete
SUBMISSIONS CLOSED FOR-PRIZE COMPETITION PRE-APPROVAL NEEDED

Phase 2: Financial Crime – Centralized

4 days, 19 hours left
$575,000

Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Develop efficient, accurate, and extensible federated learning solutions with strong privacy guarantees for individuals in the data.

Crystal

Current Leaders
Compete

Phase 2: Solution Development – Pandemic Forecasting

SUBMISSIONS CLOSED FOR-PRIZE COMPETITION PRE-APPROVAL NEEDED

Phase 2: Pandemic Forecasting – Federated

4 days, 19 hours left
$575,000

Welcome to Phase 2 for prescreened participants! Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Develop efficient, accurate, and extensible federated learning solutions with strong privacy guarantees for individuals in the data.

MusCAT

Current Leaders
Compete
SUBMISSIONS CLOSED FOR-PRIZE COMPETITION PRE-APPROVAL NEEDED

Phase 2: Pandemic Forecasting – Centralized

4 days, 19 hours left
$575,000

Welcome to Phase 2 for prescreened participants! Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Develop efficient, accurate, and extensible federated learning solutions with strong privacy guarantees for individuals in the data.

MusCAT

Current Leaders
Compete

Phase 3: Red Teams

SUBMISSIONS CLOSED    CONCEPT COMPETITION

Phase 3: Red Teams

4 days, 19 hours left
$120,000

Help unlock the potential of privacy-enhancing technologies (PETs) to combat global societal challenges. Test the privacy guarantees of blue teams' federated learning solutions.

Compete