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A New Class of Private Chi-Square Hypothesis Tests., and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 991-1000. PMLR, (2017)A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy.. CoRR, (2023)LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale., , , , , , , and . CoRR, (2020)Challenges towards the Next Frontier in Privacy., , , , , , , , , and 14 other author(s). CoRR, (2023)Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown., and . CoRR, (2021)Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics., and . ALT, volume 132 of Proceedings of Machine Learning Research, page 421-457. PMLR, (2021)Fully-Adaptive Composition in Differential Privacy., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 36990-37007. PMLR, (2023)Private Pareto Optimal Exchange., , , and . ACM Trans. Economics and Comput., 6 (3-4): 12:1-12:25 (2018)Fully Adaptive Composition in Differential Privacy., , , and . CoRR, (2022)Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2830-2840. PMLR, (2020)