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Differentially Private Robust Low-Rank Approximation.

, , и . NeurIPS, стр. 4141-4149. (2018)

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Jalaj Upadhyay

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Differentially Private Range Query on Shortest Paths., , , и . WADS, том 14079 из Lecture Notes in Computer Science, стр. 340-370. Springer, (2023)The Price of Privacy for Low-rank Factorization.. NeurIPS, стр. 4180-4191. (2018)Almost Tight Error Bounds on Differentially Private Continual Counting., , и . SODA, стр. 5003-5039. SIAM, (2023)A Framework for Private Matrix Analysis in Sliding Window Model., и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 10465-10475. PMLR, (2021)Differentially Private Robust Low-Rank Approximation., , и . NeurIPS, стр. 4141-4149. (2018)Multi-prover proof of retrievability., , и . J. Math. Cryptol., 12 (4): 203-220 (2018)On Differentially Private Graph Sparsification and Applications., и . NeurIPS, стр. 13378-13389. (2019)Optimal Bounds on Private Graph Approximation., , и . SODA, стр. 1019-1049. SIAM, (2024)Differentially Private Analysis on Graph Streams., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1171-1179. PMLR, (2021)Sublinear Space Private Algorithms Under the Sliding Window Model.. ICML, том 97 из Proceedings of Machine Learning Research, стр. 6363-6372. PMLR, (2019)