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$\left[\mathrm{LSA}^{+}21\right]$  Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, and Ananda Theertha Suresh. Learning with user-level privacy. Advances in Neural Information Processing Systems, 34:12466-12479, 2021.
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[LVW21] Terrance Liu, Giuseppe Vietri, and Steven Z Wu. Iterative methods for private synthetic data: Unifying framework and new methods. Advances in Neural Information Processing Systems, 34:690-702, 2021.
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[MSM19] Ryan McKenna, Daniel Sheldon, and Gerome Miklau. Graphical-model based estimation and inference for differential privacy. In International Conference on Machine Learning, pages 4435-4444. PMLR, 2019.
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$\left[\mathrm{RLP}^{+}20\right]$  Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, and Joshua Allen. Differentially private synthetic data: Applied evaluations and enhancements. arXiv preprint arXiv:2011.05537, 2020.
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