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Differentially private heatmaps
Google AI Blog ai.googleblog.com
Recently, differential privacy (DP) has emerged as a mathematically robust notion of user privacy for data aggregation and machine learning (ML), with practical deployments including the 2022 US Census and in industry. Over the last few years, we have open-sourced libraries for privacy-preserving analytics and ML and have been constantly enhancing their capabilities. Meanwhile, new algorithms have been developed by the research community for several …
aggregation algorithms analytics census community data data aggregation differential privacy engineer google google research heatmap industry libraries machine machine learning notion practical privacy research security and privacy software software engineer staff