| A rate-distortion framework for explaining black-box model decisions S Kolek, DA Nguyen, R Levie, J Bruna, G Kutyniok International Workshop on Extending Explainable AI Beyond Deep Models and …, 2022 | 16 | 2022 |
| Cartoon explanations of image classifiers S Kolek, DA Nguyen, R Levie, J Bruna, G Kutyniok European Conference on Computer Vision, 443-458, 2022 | 11 | 2022 |
| Explaining image classifiers with multiscale directional image representation S Kolek, R Windesheim, H Andrade-Loarca, G Kutyniok, R Levie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning G Kaissis, A Ziller, S Kolek, A Riess, D Rueckert Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| How Do Input Attributes Impact the Privacy Loss in Differential Privacy? TT Mueller, S Kolek, F Jungmann, A Ziller, D Usynin, M Knolle, ... AAAI 2023, Workshop on Privacy-Preserving Artificial Intelligence., 2022 | 2 | 2022 |
| Learning Interpretable Queries for Explainable Image Classification with Information Pursuit S Kolek, A Chattopadhyay, KHR Chan, H Andrade-Loarca, G Kutyniok, ... arXiv preprint arXiv:2312.11548, 2023 | 1 | 2023 |
| Beyond the Calibration Point: Mechanism Comparison in Differential Privacy G Kaissis, S Kolek, B Balle, J Hayes, D Rueckert arXiv preprint arXiv:2406.08918, 2024 | | 2024 |
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich在 math.lmu.de 的电子邮件经过验证
