| Differentially private fine-tuning of language models D Yu, S Naik, A Backurs, S Gopi, HA Inan, G Kamath, J Kulkarni, YT Lee, ... arXiv preprint arXiv:2110.06500, 2021 | 213 | 2021 |
| Numerical composition of differential privacy S Gopi, YT Lee, L Wutschitz Advances in Neural Information Processing Systems 34, 11631-11642, 2021 | 119 | 2021 |
| Analyzing information leakage of updates to natural language models S Zanella-Béguelin, L Wutschitz, S Tople, V Rühle, A Paverd, ... Proceedings of the 2020 ACM SIGSAC conference on computer and communications …, 2020 | 103 | 2020 |
| Analyzing leakage of personally identifiable information in language models N Lukas, A Salem, R Sim, S Tople, L Wutschitz, S Zanella-Béguelin 2023 IEEE Symposium on Security and Privacy (SP), 346-363, 2023 | 82 | 2023 |
| Training data leakage analysis in language models HA Inan, O Ramadan, L Wutschitz, D Jones, V Rühle, J Withers, R Sim arXiv preprint arXiv:2101.05405, 2021 | 28 | 2021 |
| Bayesian estimation of differential privacy S Zanella-Béguelin, L Wutschitz, S Tople, A Salem, V Rühle, A Paverd, ... International Conference on Machine Learning, 40624-40636, 2023 | 27 | 2023 |
| A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes R Yamashita, L Wutschitz, N Nikiforakis Journal of Computational Physics 408, 109271, 2020 | 12 | 2020 |
| Differentially private model compression F Mireshghallah, A Backurs, HA Inan, L Wutschitz, J Kulkarni Advances in Neural Information Processing Systems 35, 29468-29483, 2022 | 11 | 2022 |
| Privacy analysis in language models via training data leakage report HA Inan, O Ramadan, L Wutschitz, D Jones, V Rühle, J Withers, R Sim ArXiv, abs/2101.05405, 2021 | 9 | 2021 |
| dp-transformers: Training transformer models with differential privacy L Wutschitz, HA Inan, A Manoel | 7 | 2022 |
| Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective L Wutschitz, B Köpf, A Paverd, S Rajmohan, A Salem, S Tople, ... arXiv preprint arXiv:2311.15792, 2023 | 3 | 2023 |
| Analyzing information leakage of updates to natural language models M Brockschmidt, B Köpf, O Ohrimenko, A Paverd, V Rühle, S Tople, ... arXiv e-prints, arXiv: 1912.07942, 2019 | 1 | 2019 |
| A Cartesian Cut-Cell Approach for Modelling Air and Water Droplet Flow L Wutschitz, N Nikiforakis 54th AIAA Aerospace Sciences Meeting, 0600, 2016 | 1 | 2016 |
| Closed-Form Bounds for DP-SGD against Record-level Inference G Cherubin, B Köpf, A Paverd, S Tople, L Wutschitz, S Zanella-Béguelin arXiv preprint arXiv:2402.14397, 2024 | | 2024 |
| On a Cartesian cut-cell methodology for simulating atmospheric ice accretion on aircraft L Wutschitz | | 2020 |
