| A differential entropy estimator for training neural networks G Pichler, PJA Colombo, M Boudiaf, G Koliander, P Piantanida International Conference on Machine Learning, 17691-17715, 2022 | 45 | 2022 |
| Leveraging adversarial examples to quantify membership information leakage G Del Grosso, H Jalalzai, G Pichler, C Palamidessi, P Piantanida Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Dictator functions maximize mutual information G Pichler, P Piantanida, G Matz | 15 | 2018 |
| Entropy and source coding for integer-dimensional singular random variables G Koliander, G Pichler, E Riegler, F Hlawatsch IEEE Transactions on Information Theory 62 (11), 6124-6154, 2016 | 14 | 2016 |
| Distributed information-theoretic clustering G Pichler, P Piantanida, G Matz Information and Inference: A Journal of the IMA 11 (1), 137-166, 2022 | 12 | 2022 |
| Perfectly accurate membership inference by a dishonest central server in federated learning G Pichler, M Romanelli, LR Vega, P Piantanida IEEE Transactions on Dependable and Secure Computing, 2023 | 11 | 2023 |
| On the estimation of information measures of continuous distributions G Pichler, P Piantanida, G Koliander arXiv preprint arXiv:2002.02851, 2020 | 11 | 2020 |
| A tight upper bound on the mutual information of two Boolean functions G Pichler, G Matz, P Piantanida 2016 IEEE Information Theory Workshop (ITW), 16-20, 2016 | 9 | 2016 |
| Distributed information-theoretic biclustering of two memoryless sources G Pichler, P Piantanida, G Matz 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 7 | 2015 |
| Information bottleneck on general alphabets G Pichler, G Koliander 2018 IEEE International Symposium on Information Theory (ISIT), 526-530, 2018 | 5 | 2018 |
| A data-driven measure of relative uncertainty for misclassification detection E Dadalto, M Romanelli, G Pichler, P Piantanida arXiv preprint arXiv:2306.01710, 2023 | 4 | 2023 |
| Bounding information leakage in machine learning G Del Grosso, G Pichler, C Palamidessi, P Piantanida Neurocomputing 534, 1-17, 2023 | 4 | 2023 |
| On direct distribution matching for adapting segmentation networks G Pichler, J Dolz, IB Ayed, P Piantanida Medical Imaging with Deep Learning, 624-637, 2020 | 4 | 2020 |
| Privacy-preserving synthetic smart meters data G Del Grosso, G Pichler, P Piantanida 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 3 | 2021 |
| A multiple description CEO problem with log-loss distortion G Pichler, P Piantanida, G Matz 2017 IEEE International Symposium on Information Theory (ISIT), 111-115, 2017 | 3 | 2017 |
| Entropy for singular distributions G Pichler, G Koliander, E Riegler, F Hlawatsch 2014 IEEE International Symposium on Information Theory, 2484-2488, 2014 | 3 | 2014 |
| On the (In) feasibility of ML Backdoor Detection as an Hypothesis Testing Problem G Pichler, M Romanelli, DP Manivannan, P Krishnamurthy, S Garg International Conference on Artificial Intelligence and Statistics, 4051-4059, 2024 | 1 | 2024 |
| Clustering by mutual information G Pichler Technische Universität Wien, 2017 | 1 | 2017 |
| Information theory on rectifiable sets G Pichler | 1 | 2013 |
| Beyond the Norms: Detecting Prediction Errors in Regression Models A Altieri, M Romanelli, G Pichler, F Alberge, P Piantanida arXiv preprint arXiv:2406.06968, 2024 | | 2024 |
Pablo PiantanidaInternational Laboratory on Learning Systems & Quebec AI Institute - Mila, CNRS & CentraleSupelecVerified email at cnrs.fr
