1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchAlyssa Hugheshttps://www.microsoft.com/en-us/research/people/v-alyhu/Collecting Telemetry Data Privately - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="UCUxqjGdpk"><a href="https://www.microsoft.com/en-us/research/publication/collecting-telemetry-data-privately/">Collecting Telemetry Data Privately</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/collecting-telemetry-data-privately/embed/#?secret=UCUxqjGdpk" width="600" height="338" title="“Collecting Telemetry Data Privately” — Microsoft Research" data-secret="UCUxqjGdpk" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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The collection and analysis of telemetry data from user’s devices is routinely performed by many software companies. Telemetry collection leads to improved user experience. Locally differentially private (LDP) algorithms have recently emerged as the main tool that allows data collectors to estimate various population statistics, while providing users with enhanced privacy protections. The guarantees provided […]https://www.microsoft.com/en-us/research/wp-content/uploads/2017/11/MSR-AI_Brain-Hero-Illustration-Square-high-res-fb-1.jpg1200640