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Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs., , , and . AAAI, page 7235-7243. AAAI Press, (2023)Differentially Private Release and Learning of Threshold Functions., , , and . FOCS, page 634-649. IEEE Computer Society, (2015)Private k-Means Clustering with Stability Assumptions., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2518-2528. PMLR, (2020)Closure Properties for Private Classification and Online Prediction., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 119-152. PMLR, (2020)Adversarially Robust Streaming Algorithms via Differential Privacy., , , , and . J. ACM, 69 (6): 42:1-42:14 (2022)Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries., , , , and . CoRR, (2024)Adaptive Data Analysis in a Balanced Adversarial Model., , and . CoRR, (2023)On the Sample Complexity of Privately Learning Axis-Aligned Rectangles., and . NeurIPS, page 28286-28297. (2021)Differentially Private Approximate Quantiles., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10751-10761. PMLR, (2022)Clustering Algorithms for the Centralized and Local Models., and . ALT, volume 83 of Proceedings of Machine Learning Research, page 619-653. PMLR, (2018)