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 (CCS, 2020)

A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes. - Rei Yamashita; Lukas Wutschitz; Nikolaos Nikiforakis 001 (J. Comput. Phys., 2020)

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)

Differentially Private Model Compression. - Fatemehsadat Mireshghallah; Arturs Backurs; Huseyin A. Inan; Lukas Wutschitz; Janardhan Kulkarni (NeurIPS, 2022)

Bayesian Estimation of Differential Privacy. - Santiago Zanella-Béguelin; Lukas Wutschitz; Shruti Tople; Ahmed Salem 001; Victor Rühle; Andrew Paverd; Mohammad Naseri; Boris Köpf; Daniel Jones (ICML, 2023)

Analyzing Leakage of Personally Identifiable Information in Language Models. - Nils Lukas; Ahmed Salem 001; Robert Sim; Shruti Tople; Lukas Wutschitz; Santiago Zanella-Béguelin (SP, 2023)

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. - Lukas Wutschitz; Boris Köpf; Andrew Paverd; Saravan Rajmohan; Ahmed Salem 001; Shruti Tople; Santiago Zanella-Béguelin; Menglin Xia; Victor Rühle (CoRR, 2023)

Closed-Form Bounds for DP-SGD against Record-level Inference. - Giovanni Cherubin; Boris Köpf; Andrew Paverd; Shruti Tople; Lukas Wutschitz; Santiago Zanella-Béguelin (USENIX Security Symposium, 2024)

Permissive Information-Flow Analysis for Large Language Models. - Shoaib Ahmed Siddiqui; Radhika Gaonkar; Boris Köpf; David Krueger 001; Andrew Paverd; Ahmed Salem 001; Shruti Tople; Lukas Wutschitz; Menglin Xia; Santiago Zanella-Béguelin (CoRR, 2024)

Numerical Composition of Differential Privacy. - Sivakanth Gopi; Yin Tat Lee; Lukas Wutschitz (J. Priv. Confidentiality, 2024)

Differentially Private Fine-tuning of Language Models. - Da Yu; Saurabh Naik; Arturs Backurs; Sivakanth Gopi; Huseyin A. Inan; Gautam Kamath 001; Janardhan Kulkarni; Yin Tat Lee; Andre Manoel; Lukas Wutschitz; Sergey Yekhanin; Huishuai Zhang (J. Priv. Confidentiality, 2024)

The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. - Matthieu Meeus; Lukas Wutschitz; Santiago Zanella-Béguelin; Shruti Tople; Reza Shokri (CoRR, 2025)

Securing AI Agents with Information-Flow Control. - Manuel Costa; Boris Köpf; Aashish Kolluri; Andrew Paverd; Mark Russinovich; Ahmed Salem 001; Shruti Tople; Lukas Wutschitz; Santiago Zanella-Béguelin (CoRR, 2025)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. - Guangchen Lan; Huseyin A. Inan; Sahar Abdelnabi; Janardhan Kulkarni; Lukas Wutschitz; Reza Shokri; Christopher G. Brinton; Robert Sim (CoRR, 2025)