Lukas Wutschitz

According to our database1, Lukas Wutschitz authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Closed-Form Bounds for DP-SGD against Record-level Inference.
CoRR, 2024

2023
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.
CoRR, 2023

Analyzing Leakage of Personally Identifiable Information in Language Models.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Bayesian Estimation of Differential Privacy.
Proceedings of the International Conference on Machine Learning, 2023

2022
Differentially Private Model Compression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Fine-tuning of Language Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Privacy Analysis in Language Models via Training Data Leakage Report.
CoRR, 2021

Numerical Composition of Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes.
J. Comput. Phys., 2020

Analyzing Information Leakage of Updates to Natural Language Models.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020


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