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有關 Sample-efficient private data release for Lipschitz functions under sparsity assumptions. 的學術文章 | |
… estimation under minimal distributional assumptions - Tzamos - 24 個引述 … in high dimensions under minimal assumptions - Ben-Eliezer - 7 個引述 Privacy-preserving data release leveraging optimal … - Donhauser - 5 個引述 | |
Sample-efficient private data release for Lipschitz functions ...
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We demonstrate that these rates can be significantly improved to n − 1 / s n^{-1/s} when only guarantees over s-sparse Lipschitz continuous functions are ...
Sample-efficient private data release for Lipschitz functions ...
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This work obtains practically meaningful rates for moderate constants s which motivates future work on computationally approximate algorithms for private ...
Sample-efficient private data release for Lipschitz functions ...
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TL;DR: In this article , a differentially private algorithm is proposed to generate low-dimensional synthetic data efficiently from a high-dimensional dataset ...
Sample-efficient private data release for Lipschitz functions ...
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Sample-efficient private data release for Lipschitz functions under sparsity assumptions. Konstantin Donhauser, J. Lokna, Amartya Sanyal, M. Boedihardjo ...
Certified private data release for sparse Lipschitz functions
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由 K Donhauser 著作2024被引用 2 次 — In order to reduce sample complexity, several works have considered sparsity assumptions in various ways. For example, Blum and Roth [2013] propose an efficient.
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Sample-efficient private data release for Lipschitz functions ...
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Recent work has presented a differentially private data release algorithm that achieves optimal rates of order n^-1/d, with n being the size of the dataset and ...
在宽度假设下为Lipschitz功能发布具有抽样效率的私人数据 ...
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最近的工作提出了一种差别化的私人数据发布算法,这种算法达到最佳的排序$n ⁇ -1/d}美元,其中美元为数据集的大小,美元为维度,在所有Lipschitz连续统计中最差的错误中,美元为 ...
Certified private data release for sparse Lipschitz functions
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由 K Donhauser 著作2023被引用 2 次 — In this work, we introduce an algorithm that enjoys fast rates for the utility loss for sparse Lipschitz queries.
缺少字詞： Sample- efficient assumptions.
Johan Lokna
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Sampleefficient private data release for Lipschitz functions under sparsity assumptions. K Donhauser, J Lokna, A Sanyal, M Boedihardjo, R Hönig, F Yang. arXiv ...
Johan Lokna
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Sample-efficient private data release for Lipschitz functions under sparsity assumptions · Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March ...