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→现实世界中差分隐私算法的应用
*2017：微软，用于Windows遥测系统。.<ref name=":13">{{cite web|title=Apple - Press Info - Apple Previews iOS 10, the Biggest iOS Release Ever|url=https://www.apple.com/pr/library/2016/06/13Apple-Previews-iOS-10-The-Biggest-iOS-Release-Ever.html|website=Apple|access-date=16 June 2016}}</ref>
*2017：微软，用于Windows遥测系统。.<ref name=":13">{{cite web|title=Apple - Press Info - Apple Previews iOS 10, the Biggest iOS Release Ever|url=https://www.apple.com/pr/library/2016/06/13Apple-Previews-iOS-10-The-Biggest-iOS-Release-Ever.html|website=Apple|access-date=16 June 2016}}</ref>
*2019：Priveritar Lens是一个使用差分隐私技术的 API。<ref name=":14">{{cite web|title=Privitar Lens|url=https://www.privitar.com/privitar-lens|access-date=20 February 2018}}</ref>
*2019：Priveritar Lens是一个使用差分隐私技术的 API。<ref name=":14">{{cite web|title=Privitar Lens|url=https://www.privitar.com/privitar-lens|access-date=20 February 2018}}</ref>
*2020：LinkedIn，用于广告商查询。<ref name="DpLinkedIn" />
*2020：LinkedIn，用于广告商查询。<ref name="DpLinkedIn">[https://arxiv.org/abs/2002.05839 LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale] by Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad. arXiv:2002.05839.</ref>
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==公共目标的考虑 ==
==公共目标的考虑 ==