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DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection., , and . CoRR, (2023)Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters., , , , , , and . CCS, page 1949-1963. ACM, (2023)Differentially Private Algorithms for 2020 Census Detailed DHC Race & Ethnicity., , , , and . CoRR, (2021)Online Paging with Heterogeneous Cache Slots., , , , , , and . STACS, volume 254 of LIPIcs, page 23:1-23:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)One-sided Differential Privacy., , , , and . ICDE, page 493-504. IEEE, (2020)Symmetric Interdiction for Matching Problems., , , , , and . APPROX-RANDOM, volume 81 of LIPIcs, page 9:1-9:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics., , , , , and . SIGMOD Conference, page 1339-1354. ACM, (2017)Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy., , , , , , , , , and 3 other author(s). CoRR, (2022)Retracting Graphs to Cycles., , , , , and . ICALP, volume 132 of LIPIcs, page 70:1-70:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)