Lukas Wutschitz

28 papers A* 8Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Computer-Using World Model.
CoRR
Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin A. Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2025 J jnl
ACON: Optimizing Context Compression for Long-horizon LLM Agents.
CoRR
Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
2025 J jnl
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning.
CoRR
Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
2025 J jnl
Learning GUI Grounding with Spatial Reasoning from Visual Feedback.
CoRR
Yu Zhao, Wei-Ning Chen, Huseyin A. Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
2025 J jnl
Permissive Information-Flow Analysis for Large Language Models.
Trans. Mach. Learn. Res.
Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2025 J jnl
Securing AI Agents with Information-Flow Control.
CoRR
Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2025 J jnl
Simulating Environments with Reasoning Models for Agent Training.
CoRR
Yuetai Li, Huseyin A. Inan, Xiang Yue, Wei-Ning Chen, Lukas Wutschitz, Janardhan Kulkarni, Radha Poovendran, Robert Sim, Saravan Rajmohan
2025 A* conf
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text.
ICML
Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2025 J jnl
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text.
CoRR
Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2024 A* conf
Closed-Form Bounds for DP-SGD against Record-level Inference.
USENIX Security Symposium
Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2024 J jnl
Closed-Form Bounds for DP-SGD against Record-level Inference.
CoRR
Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2024 J jnl
Differentially Private Fine-tuning of Language Models.
J. Priv. Confidentiality
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
2024 J jnl
Numerical Composition of Differential Privacy.
J. Priv. Confidentiality
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
2024 J jnl
Permissive Information-Flow Analysis for Large Language Models.
CoRR
Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2023 A* conf
Analyzing Leakage of Personally Identifiable Information in Language Models.
SP
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 J jnl
Analyzing Leakage of Personally Identifiable Information in Language Models.
CoRR
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 A* conf
Bayesian Estimation of Differential Privacy.
ICML
Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2023 J jnl
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.
CoRR
Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle
2022 J jnl
Bayesian Estimation of Differential Privacy.
CoRR
Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2022 A* conf
Differentially Private Fine-tuning of Language Models.
ICLR
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
2022 A* conf
Differentially Private Model Compression.
NeurIPS
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
2022 J jnl
Differentially Private Model Compression.
CoRR
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
2021 J jnl
Differentially Private Fine-tuning of Language Models.
CoRR
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
2021 A* conf
Numerical Composition of Differential Privacy.
NeurIPS
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
2021 J jnl
Numerical Composition of Differential Privacy.
CoRR
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
2021 J jnl
Privacy Analysis in Language Models via Training Data Leakage Report.
CoRR
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
2020 J jnl
A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes.
J. Comput. Phys.
Rei Yamashita, Lukas Wutschitz, Nikolaos Nikiforakis
2020 A* conf
Analyzing Information Leakage of Updates to Natural Language Models.
CCS
Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt