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KHyperLogLog: Estimating Reidentifiability and Joinability of Large Data at Scale., , , , , , , and . IEEE Symposium on Security and Privacy, page 350-364. IEEE, (2019)Differentially Private SQL with Bounded User Contribution., , , , , and . Proc. Priv. Enhancing Technol., 2020 (2): 230-250 (2020)Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions, and . Springer Briefs in Computer Science Springer, (2022)Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1), , , , , , , , , and 14 other author(s). (2020)cite arxiv:2004.04145.Publishing Wikipedia usage data with strong privacy guarantees., , , , , , , , , and 2 other author(s). CoRR, (2023)Challenges towards the Next Frontier in Privacy., , , , , , , , , and 14 other author(s). CoRR, (2023)Google COVID-19 Vaccination Search Insights: Anonymization Process Description., , , , , , , , , and 15 other author(s). CoRR, (2021)Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)., , , , , , , , , and 14 other author(s). CoRR, (2020)Cardinality Estimators do not Preserve Privacy., , and . Proc. Priv. Enhancing Technol., 2019 (2): 26-46 (2019)Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy., , , , , , , , , and 3 other author(s). CoRR, (2022)