Lukas Wutschitz

According to our database, Lukas Wutschitz authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Permissive Information-Flow Analysis for Large Language Models.

Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella Béguelin

CoRR, 2024

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

Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

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

Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella Béguelin, Menglin Xia, Victor Rühle

CoRR, 2023

Analyzing Leakage of Personally Identifiable Information in Language Models.

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Bayesian Estimation of Differential Privacy.

Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

Proceedings of the International Conference on Machine Learning, 2023

2022

Differentially Private Model Compression.

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni

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.

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Privacy Analysis in Language Models via Training Data Leakage Report.

Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim

CoRR, 2021

Numerical Composition of Differential Privacy.

Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz

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.

Rei Yamashita, Lukas Wutschitz, Nikolaos Nikiforakis

J. Comput. Phys., 2020

Analyzing Information Leakage of Updates to Natural Language Models.

Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020