Lukas Wutschitz

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Differentially Private

Top Venues

USENIX Security Symposium

J. Comput. Phys.

Publications

Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Closed-Form Bounds for DP-SGD against Record-level Inference. USENIX Security Symposium (2024)
Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Closed-Form Bounds for DP-SGD against Record-level Inference. CoRR (2024)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. ICML (2023)
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models. CoRR (2023)
Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella Béguelin, Menglin Xia, Victor Rühle
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. CoRR (2023)
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models. SP (2023)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. CoRR (2022)
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
Differentially Private Fine-tuning of Language Models. ICLR (2022)
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
Differentially Private Model Compression. CoRR (2022)
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
Differentially Private Model Compression. NeurIPS (2022)
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
Privacy Analysis in Language Models via Training Data Leakage Report. CoRR (2021)
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
Numerical Composition of Differential Privacy. CoRR (2021)
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
Differentially Private Fine-tuning of Language Models. CoRR (2021)
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
Numerical Composition of Differential Privacy. NeurIPS (2021)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt
Analyzing Information Leakage of Updates to Natural Language Models. CCS (2020)
Rei Yamashita, Lukas Wutschitz, Nikolaos Nikiforakis
A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes. J. Comput. Phys. 408 (2020)