| On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics M Congedo, C Gouy-Pailler, C Jutten Clinical Neurophysiology 119 (12), 2677-2686, 2008 | 175 | 2008 |
| Nonstationary brain source separation for multiclass motor imagery C Gouy-Pailler, M Congedo, C Brunner, C Jutten, G Pfurtscheller IEEE transactions on Biomedical Engineering 57 (2), 469-478, 2009 | 135 | 2009 |
| Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family R Pinot, L Meunier, A Araujo, H Kashima, F Yger, C Gouy-Pailler, J Atif Advances in Neural Information Processing Systems 32, 11838–11848, 2019 | 100 | 2019 |
| A secure federated learning framework using homomorphic encryption and verifiable computing A Madi, O Stan, A Mayoue, A Grivet-Sébert, C Gouy-Pailler, R Sirdey 2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big …, 2021 | 67 | 2021 |
| An iterative subspace denoising algorithm for removing electroencephalogram ocular artifacts R Sameni, C Gouy-Pailler Journal of neuroscience methods 225, 97-105, 2014 | 49 | 2014 |
| Multivariate temporal dictionary learning for EEG Q Barthélemy, C Gouy-Pailler, Y Isaac, A Souloumiac, A Larue, JI Mars Journal of neuroscience methods 215 (1), 19-28, 2013 | 49 | 2013 |
| Structured adaptive and random spinners for fast machine learning computations M Bojarski, A Choromanska, K Choromanski, F Fagan, C Gouy-Pailler, ... Proceedings of the 20th International Conference on Artificial Intelligence …, 2017 | 43 | 2017 |
| SPEED: secure, PrivatE, and efficient deep learning A Grivet Sébert, R Pinot, M Zuber, C Gouy-Pailler, R Sirdey Machine Learning, 1-20, 2021 | 24 | 2021 |
| Bayesian Model for Multiple Change-points Detection in Multivariate Time Series F Harlé, F Chatelain, C Gouy-Pailler, S Achard IEEE Transactions on Signal Processing 64 (16), 4351--4362, 2016 | 24 | 2016 |
| Topographical dynamics of brain connections for the design of asynchronous brain-computer interfaces C Gouy-Pailler, S Achard, B Rivet, C Jutten, E Maby, A Souloumiac, ... Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual …, 2007 | 22 | 2007 |
| Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping PE Clet, M Zuber, A Boudguiga, R Sirdey, C Gouy-Pailler Cryptology ePrint Archive, 2022 | 21 | 2022 |
| A unified view on differential privacy and robustness to adversarial examples R Pinot, F Yger, C Gouy-Pailler, J Atif Workshop on Machine Learning for CyberSecurity (MLCS@ECML-PKDD), 2019 | 20 | 2019 |
| Combining homomorphic encryption and differential privacy in federated learning A Grivet Sébert, M Checri, O Stan, R Sirdey, C Gouy-Pailler 20th Annual International Conference on Privacy, Security and Trust (PST), 1-7, 2023 | 19* | 2023 |
| Graph-based Clustering under Differential Privacy R Pinot, A Morvan, F Yger, C Gouy-Pailler, J Atif Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial …, 2018 | 19 | 2018 |
| On the robustness of randomized classifiers to adversarial examples R Pinot, L Meunier, F Yger, C Gouy-Pailler, Y Chevaleyre, J Atif Machine Learning 111 (9), 3425-3457, 2022 | 18 | 2022 |
| Iterative subspace decomposition for ocular artifact removal from EEG recordings C Gouy-Pailler, R Sameni, M Congedo, C Jutten International Conference on Independent Component Analysis and Signal …, 2009 | 15 | 2009 |
| Graph sketching-based Space-efficient Data Clustering A Morvan, K Choromanski, C Gouy-Pailler, J Atif SIAM International Conference on Data Mining, 10-18, 2018 | 13* | 2018 |
| Distance and similarity measures for sensors selection in heavily instrumented buildings: application to the INCAS platform C Gouy-Pailler, H Najmeddine, A Mouraud, F Suard, C Spitz, A Jay, ... 28th International Conference of CIB W78, 2011 | 13* | 2011 |
| A Haptic Based Interface to Ease Visually Impaired Pupils’ Inclusion in Geometry Lessons C Gouy-Pailler, S Zijp-Rouzier, S Vidal, D Chêne Universal Access in Human-Computer Interaction. Applications and Services …, 2007 | 11 | 2007 |
| Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations Y Isaac, Q Barthélemy, C Gouy-Pailler, M Sebag, J Atif Signal Processing 130, 389-402, 2017 | 10 | 2017 |
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deAdresse e-mail validée de gipsa-lab.fr
