| Thresholded adaptive validation: Tuning the graphical lasso for graph recovery M Laszkiewicz, A Fischer, J Lederer International Conference on Artificial Intelligence and Statistics, 1864-1872, 2021 | 13 | 2021 |
| Marginal tail-adaptive normalizing flows M Laszkiewicz, J Lederer, A Fischer International Conference on Machine Learning, 12020-12048, 2022 | 12 | 2022 |
| Copula-based normalizing flows M Laszkiewicz, J Lederer, A Fischer arXiv preprint arXiv:2107.07352, 2021 | 8 | 2021 |
| Single-Model Attribution of Generative Models Through Final-Layer Inversion M Laszkiewicz, J Ricker, J Lederer, A Fischer arXiv preprint arXiv:2306.06210, 2023 | 5 | 2023 |
| Benchmarking the fairness of image upsampling methods M Laszkiewicz, I Daunhawer, JE Vogt, A Fischer, J Lederer Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 4 | 2024 |
| Single-model attribution of generative models through final-layer inversion M Laszkiewicz, J Ricker, J Lederer, A Fischer Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Anomalydino: Boosting patch-based few-shot anomaly detection with dinov2 S Damm, M Laszkiewicz, J Lederer, A Fischer arXiv preprint arXiv:2405.14529, 2024 | 3 | 2024 |
| Set-Membership Inference Attacks using Data Watermarking M Laszkiewicz, D Lukovnikov, J Lederer, A Fischer arXiv preprint arXiv:2307.15067, 2023 | 1 | 2023 |
| Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting M Pizarro, M Laszkiewicz, D Kolossa, A Fischer arXiv preprint arXiv:2411.14013, 2024 | | 2024 |
| Exploring different biases in generative models MC Laszkiewicz | | 2024 |