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$\ell$-Diversity: Privacy Beyond $\kappa$-Anonymity, , , and . ICDE '06: Proceedings of the 22nd International Conference on Data Engineering, page 24. Washington, DC, USA, IEEE Computer Society, (2006)DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints., , , and . Data Min. Knowl. Discov., 7 (3): 241-272 (2003)Dualminer: A dual-pruning algorithm for itemsets with constraints, , , and . Data Mining and Knowledge Discovery, 7 (3): 241--272 (2003)On Estimating the Swapping Rate for Categorical Data.. KDD, page 557-566. ACM, (2015)Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints., , and . KDD, page 635-644. ACM, (2015)Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization., , and . CoRR, (2016)A New Class of Private Chi-Square Tests, and . (2016)cite arxiv:1610.07662.Unifying Adversarial Training Algorithms with Data Gradient Regularization., , and . Neural Comput., 29 (4): 867-887 (2017)Guidelines for Implementing and Auditing Differentially Private Systems., , , , and . CoRR, (2020)The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise., , , , , , and . CoRR, (2021)