NIST Crowdsourcing Challenge to De-Identify Public Safety Data Sets
The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has launched a crowdsourcing challenge to spur new methods to ensure that important public safety data sets can be de-identified to protect individual privacy. The Differential Privacy Temporal Map Challenge includes a series of contests that will award a total of up to $276,000 for differential privacy solutions for complex data sets that include information on both time and location.
For critical applications such as emergency planning and epidemiology, public safety responders may need access to sensitive data, but sharing that data with external analysts can compromise individual privacy. Even if data is anonymized, malicious parties may be able to link the anonymized records with third-party data and re-identify individuals. And, when data has both geographical and time information, the risk of re-identification increases significantly.
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