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Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy., , , , , and . CoRR, (2015)GBLENDER: towards blending visual query formulation and query processing in graph databases., , , , and . SIGMOD Conference, page 111-122. ACM, (2010)iReduct: differential privacy with reduced relative errors., , , and . SIGMOD Conference, page 229-240. ACM, (2011)A Fusion-Denoising Attack on InstaHide with Data Augmentation., , , , and . AAAI, page 1899-1907. AAAI Press, (2022)MGNNI: Multiscale Graph Neural Networks with Implicit Layers., , , and . NeurIPS, (2022)Double Explore-then-Commit: Asymptotic Optimality and Beyond., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 2584-2633. PMLR, (2021)EIGNN: Efficient Infinite-Depth Graph Neural Networks., , , , and . NeurIPS, page 18762-18773. (2021)Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis., , , and . EMNLP, page 616-626. The Association for Computational Linguistics, (2016)Thompson Sampling with Less Exploration is Fast and Optimal., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15239-15261. PMLR, (2023)ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication., , , , and . IEEE Trans. Knowl. Data Eng., 21 (7): 1073-1087 (2009)