Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Sample-efficient private data release for Lipschitz functions under sparsity assumptions., , , , , and . CoRR, (2023)Private Sampling: A Noiseless Approach for Generating Differentially Private Synthetic Data., , and . SIAM J. Math. Data Sci., 4 (3): 1082-1115 (September 2022)DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM., , , , and . CoRR, (2019)Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data., , and . Found. Comput. Math., 24 (1): 179-226 (February 2024)Privacy of Synthetic Data: A Statistical Framework., , and . IEEE Trans. Inf. Theory, 69 (1): 520-527 (2023)Private measures, random walks, and synthetic data., , and . CoRR, (2022)Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data., , and . CoRR, (2021)Privacy of synthetic data: a statistical framework., , and . CoRR, (2021)DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM., , , , , and . MSML, volume 107 of Proceedings of Machine Learning Research, page 328-351. PMLR, (2020)A Performance Guarantee for Spectral Clustering., , and . CoRR, (2020)