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NIST Differential Privacy Synthetic Data Challenge

NIST Differential Privacy Synthetic Data Challenge

Propose a mechanism to enable the protection of personally identifiable information while maintaining a dataset's utility for analysis Read Overview...
Overview

Are you a mathematician or data scientist interested in a new challenge? 

Then join this exciting data privacy competition with up to $150,000 in prizes, where participants will propose a mechanism to enable the protection of personally identifiable information while maintaining a dataset's utility for analysis using differentially private synthetic data generation tools.

Our increasingly digital world turns almost all our daily activities into data collection opportunities, from the more obvious entry into a webform to connected cars, cell phones, and wearables. Dramatic increases in computing power and innovation over the last decade along with both public and private organizations increasingly automating data collection make it possible to combine and utilize the data from all of these sources to complete valuable research and data analysis.

Due to the sensitive nature of information contained in these types of datasets, and the risk of individuals being identifiable even in anonymized data, these datasets can’t easily be made available to analysts and researchers.  Differentially private synthetic data generation solves this problem by producing new, artificial data that can serve as a practical replacement for the original sensitive data.  

The “Differential Privacy Synthetic Data Challenge” will entail a sequence of three marathon matches run on the Topcoder platform, asking contestants to design and implement their own synthetic data generation algorithms, mathematically prove their algorithm satisfies differential privacy, and then enter it to compete against others’ algorithms on empirical accuracy over real data, with the prospect of advancing research in the field of Differential Privacy.

Competitors may enter the contest at any point to participate between November 2018 and April 2019. Topcoder will be running three separate Marathon Matches and will bring the registrations from previous matches to the next matches.

 

Join, learn, and compete for $150,000 in prizes! 

 

If you’re not a differential privacy expert, and you’d like to learn, we’ll have tutorials to help you catch up and compete! 

Timeline
Updates 5

Deadline Tomorrow!

Nov. 29, 2018, 2:21 p.m. PST by Kyla Jeffrey

There are less than 24 hours left to submit, or update your submission, for the first Marathon Match in the NIST Differential Privacy Synthetic Data Challenge! The deadline is November 30 at 15:00 ET (New York).

 

Head over to Topcoder to submit your entry --> 

 

If you haven't already read our 4 tips for success, we recommend checking them out here. 


Must read -- 4 tips to make the most out of the last 4 days of the NIST DP Challenge

Nov. 26, 2018, 9:21 p.m. PST by Kyla Jeffrey

There are only 4 days left to submit, or update your submission, for the first Marathon Match in the NIST Differential Privacy Synthetic Data Challenge! The deadline is November 30 at 15:00 ET (New York).

 

4 Must Read Tips for Success:

1. -1 Score?: If you are receiving -1 on the leaderboard, there is an error in processing your submission. Read more...

 

2. Apply for Pre-Screening: Competitors approved during pre-screening will receive⨉1000 boost to their further provisional scores. If you have not yet done so, you are still eligible for the boost in points if you apply by the November 30th deadline. Read more...

 

3. Leaderboard: Check out the leaderboard to see where you place. Ensure you're not receiving a -1 score.

 

4. Have any other questions? See if they've already been addressed in the Topcoder Forum.


Missed the NIST Webinar last week?

Nov. 19, 2018, 7:37 a.m. PST by Kyla Jeffrey

Did you miss the Q & A webinar with the NIST team last week? We have you covered. 

Watch the recording below and check out the slide deck and questions asked.

 

Are you ready to get started on Phase 2? 

Head over to the Topcoder page to join the competition.

 


Don't miss out! Q&A Webinar Nov 13

Nov. 4, 2018, 12:44 p.m. PST by Kyla Jeffrey

Join our webinar on Tuesday November 13th at 11:00 am Eastern Time (New York) to learn from the NIST Challenge Team. We'll share our top tips for entering the Differential Privacy Synthetic Data Challenge and answer your burning questions live.

 

By attending this webinar, you can expect to come away with:

  • What you need to consider to participate in the challenge
  • Why this challenge is crucial to NIST
  • Answers to commonly (and uncommonly) asked questions.

 

Save Your Seat


The Differential Privacy Synthetic Data Challenge is officially open!

Oct. 31, 2018, 5:39 p.m. PDT by Kyla Jeffrey

Announcing the official launch of the Differential Privacy Synthetic Data Challenge!

The Differential Privacy Synthetic Data Challenge will entail a sequence of three marathon matches run on the Topcoder platform, asking contestants to design and implement their own synthetic data generation algorithms, mathematically prove their algorithm satisfies differential privacy, and then enter it to compete against others’ algorithms on empirical accuracy over real data, with the prospect of advancing research in the field of Differential Privacy.

Anyone is welcome to participate in Phase 2, regardless of whether or not you participated in Phase 1. Competitors may enter the contest at any point to participate between November 2018 and April 2019. Topcoder will be running three separate Marathon Matches and will bring the registrations from previous matches to the next matches.

 

Head over to the Topcoder Challenge Page to view the full details!

 

If you’re not a differential privacy expert, and you’d like to learn, we’ll have tutorials to help you catch up and compete!

For more information on this data challenge funded through Public Safety Communications Research (PSCR) at NIST, or any federal government challenge, go to Challenge.gov.


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