| Doctor: A simple method for detecting misclassification errors F Granese, M Romanelli, D Gorla, C Palamidessi, P Piantanida Advances in Neural Information Processing Systems 34, 5669-5681, 2021 | 37 | 2021 |
| A simple unsupervised data depth-based method to detect adversarial images M Picot, G Staerman, F Granese, N Noiry, F Messina, P Piantanida, ... | 10 | 2022 |
| A halfspace-mass depth-based method for adversarial attack detection M Picot, F Granese, G Staerman, M Romanelli, F Messina, P Piantanida, ... Transactions on Machine Learning Research, 2022 | 6 | 2022 |
| MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors F Granese, M Picot, M Romanelli, F Messina, P Piantanida Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 6 | 2022 |
| Enhanced models for privacy and utility in continuous-time diffusion networks F Granese, D Gorla, C Palamidessi International Journal of Information Security, 1-20, 2021 | 6 | 2021 |
| On the (im) possibility of estimating various notions of differential privacy D Gorla, L Jalouzot, F Granese, C Palamidessi, P Piantanida arXiv preprint arXiv:2208.14414, 2022 | 3 | 2022 |
| Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks D Gorla, F Granese, C Palamidessi Theoretical Aspects of Computing - ICTAC 2019 - 16th International …, 2019 | 3 | 2019 |
| Optimal Zero-Shot Detector for Multi-Armed Attacks F Granese, M Romanelli, P Piantanida arXiv preprint arXiv:2402.15808, 2024 | | 2024 |
| The Negative Impact of Denoising on Automated Classification of Electrocardiograms F Granese, A Fall, A Lence, JE Salem, JD Zucker, E Prifti Deep Generative Models for Health Workshop NeurIPS 2023, 2023 | | 2023 |
| Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection F Granese Ecole Polytechnique (EDX), Sapienza University of Rome, 2023 | | 2023 |
| A simple Training-Free Method for Rejection Option EDC Gomes, M Romanelli, F Granese, P Piantanida | | 2022 |
Pablo PiantanidaInternational Laboratory on Learning Systems (ILLS) & Quebec AI Institute (MILA), CNRSVerified email at cnrs.fr
