Individual privacy accounting with gaussian differential privacy A Koskela, M Tobaben, A Honkela International Conference on Learning Representations (ICLR), 2023 | 11 | 2023 |
On the Efficacy of Differentially Private Few-shot Image Classification M Tobaben, A Shysheya, J Bronskill, A Paverd, S Tople, ... Transactions on Machine Learning Research, 2023 | 5 | 2023 |
Privacy-Aware Document Visual Question Answering R Tito, K Nguyen, M Tobaben, R Kerkouche, MA Souibgui, K Jung, ... arXiv preprint arXiv:2312.10108, 2023 | 4 | 2023 |
PyVBMC: Efficient Bayesian inference in Python B Huggins, C Li, M Tobaben, MJ Aarnos, L Acerbi Journal of Open Source Software 8 (86), 5428, 2023 | 4 | 2023 |
Noise-Aware Differentially Private Regression via Meta-Learning O Räisä, S Markou, M Ashman, WP Bruinsma, M Tobaben, A Honkela, ... arXiv preprint arXiv:2406.08569, 2024 | | 2024 |
On the Impact of Dataset Properties on Membership Privacy of Deep Learning M Tobaben, G Pradhan, Y He, J Jälkö, A Honkela arXiv preprint arXiv:2402.06674, 2024 | | 2024 |
Hyperparameters and neural architectures in differentially private deep learning M Tobaben Master's thesis, University of Helsinki, 2022 | | 2022 |