| Detecting overfitting of deep generative networks via latent recovery R Webster, J Rabin, L Simon, F Jurie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 109 | 2019 |
| This person (probably) exists. identity membership attacks against gan generated faces R Webster, J Rabin, L Simon, F Jurie arXiv preprint arXiv:2107.06018, 2021 | 42 | 2021 |
| On the de-duplication of laion-2b R Webster, J Rabin, L Simon, F Jurie arXiv preprint arXiv:2303.12733, 2023 | 27 | 2023 |
| Revisiting precision recall definition for generative modeling L Simon, R Webster, J Rabin International Conference on Machine Learning, 5799-5808, 2019 | 20 | 2019 |
| Revisiting precision and recall definition for generative model evaluation L Simon, R Webster, J Rabin arXiv preprint arXiv:1905.05441, 2019 | 17 | 2019 |
| A reproducible extraction of training images from diffusion models R Webster arXiv preprint arXiv:2305.08694, 2023 | 13 | 2023 |
| Generating private data surrogates for vision related tasks R Webster, J Rabin, L Simon, F Jurie 2020 25th International Conference on Pattern Recognition (ICPR), 263-269, 2021 | 9 | 2021 |
| On the theoretical equivalence of several trade-off curves assessing statistical proximity R Siry, R Webster, L Simon, J Rabin Journal of Machine Learning Research 24 (185), 1-34, 2023 | 4* | 2023 |
| Innovative non-parametric texture synthesis via patch permutations R Webster arXiv preprint arXiv:1801.04619, 2018 | 2 | 2018 |
| Width-Wise Parameter Sharing for Multi-Domain GAN Learning R Webster, J Rabin, L Simon, F Jurie 2022 IEEE International Conference on Image Processing (ICIP), 4163-4167, 2022 | | 2022 |
