| Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT A Koskela, J Jälkö, L Prediger, A Honkela International Conference on Artificial Intelligence and Statistics, 3358-3366, 2021 | 46 | 2021 |
| d3p - A Python Package for Differentially-Private Probabilistic Programming L Prediger, N Loppi, S Kaski, A Honkela Proceedings on Privacy Enhancing Technologies 2022 (2), 407–425, 2022 | 5 | 2022 |
| On the importance of monitoring and directing progress in AI L Prediger AI Matters 3 (3), 30-38, 2017 | 2 | 2017 |
| qupulse: A quantum computing pulse parametrization and sequencing framework P Cerfontaine, S Humpohl, L Prediger, P Bethke, E Kammerloher, ... Bulletin of the American Physical Society 65, 2020 | | 2020 |
| twinify: A software package for differentially private data release J Jälkö, L Prediger, A Honkela, S Kaski | | |
