( en | de | ru )

 

Disambiguation of "Wutschitz, Lukas"

Author of the publication

copydeleteadd this publication to your clipboard
Bayesian Estimation of Differential Privacy.

, , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40624-40636. PMLR, (2023)

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.

Charlotte Lukas

Hans Lukas

Siegmar Lukas

Klaus Lukas

Martin Lukasiewycz

 

Other publications of authors with the same name

Bayesian Estimation of Differential Privacy., , , , , , , , and . CoRR, (2022)Closed-Form Bounds for DP-SGD against Record-level Inference., , , , , and . CoRR, (2024)Differentially Private Fine-tuning of Language Models., , , , , , , , , and 2 other author(s). CoRR, (2021)Differentially Private Fine-tuning of Language Models., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2022)A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes., , and . J. Comput. Phys., (2020)Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective., , , , , , , , and . CoRR, (2023)Analyzing Information Leakage of Updates to Natural Language Models., , , , , , , and . CCS, page 363-375. ACM, (2020)Analyzing Leakage of Personally Identifiable Information in Language Models., , , , , and . SP, page 346-363. IEEE, (2023)Differentially Private Model Compression., , , , and . NeurIPS, (2022)Bayesian Estimation of Differential Privacy., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40624-40636. PMLR, (2023)