| Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms R Kerkouche, R Alami, R Féraud, N Varsier, P Maillé 2018 25th International Conference on Telecommunications (ICT), 521-526, 2018 | 50 | 2018 |
| Privacy-preserving and bandwidth-efficient federated learning: An application to in-hospital mortality prediction R Kerkouche, G Acs, C Castelluccia, P Genevès Proceedings of the conference on health, inference, and learning, 25-35, 2021 | 38 | 2021 |
| Private set generation with discriminative information D Chen, R Kerkouche, M Fritz Neural Information Processing Systems (NeurIPS), 2022 | 24 | 2022 |
| Compression boosts differentially private federated learning R Kerkouche, G Ács, C Castelluccia, P Genevès 2021 IEEE European Symposium on Security and Privacy (EuroS&P), 304-318, 2021 | 23 | 2021 |
| Federated learning in adversarial settings R Kerkouche, G Ács, C Castelluccia arXiv preprint arXiv:2010.07808, 2020 | 13 | 2020 |
| Practical challenges in differentially-private federated survival analysis of medical data S Rahimian, R Kerkouche, I Kurth, M Fritz Conference on Health, Inference, and Learning, 411-425, 2022 | 8 | 2022 |
| Constrained differentially private federated learning for low-bandwidth devices R Kerkouche, G Ács, C Castelluccia, P Genevès Uncertainty in Artificial Intelligence, 1756-1765, 2021 | 5 | 2021 |
| Privacy-Aware Document Visual Question Answering R Tito, K Nguyen, M Tobaben, R Kerkouche, MA Souibgui, K Jung, ... Proceedings on International Conference on Document Analysis and Recognition …, 2023 | 4 | 2023 |
| Client-specific Property Inference against Secure Aggregation in Federated Learning R Kerkouche, G Ács, M Fritz Workshop on Privacy in the Electronic Society (WPES'23), held in conjunction …, 2023 | 4 | 2023 |
| FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations HP Wang, D Chen, R Kerkouche, M Fritz Proceedings on Privacy Enhancing Technologies (PoPETs 2024), 2023 | 4* | 2023 |
| Differentially private federated learning for bandwidth and energy constrained environments R Kerkouche Université Grenoble Alpes [2020-....], 2021 | 3 | 2021 |
| A Unified View of Differentially Private Deep Generative Modeling D Chen, R Kerkouche, M Fritz Published in Transactions on Machine Learning Research (TMLR 2024), 2024 | 1 | 2024 |
| Towards Biologically Plausible and Private Gene Expression Data Generation D Chen, M Oestreich, T Afonja, R Kerkouche, M Becker, M Fritz Proceedings on Privacy Enhancing Technologies (PoPETs 2024), 2024 | 1 | 2024 |
| Private and Collaborative Kaplan-Meier Estimators S Rahimian, R Kerkouche, I Kurth, M Fritz arXiv preprint arXiv:2305.15359, 2023 | | 2023 |
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland University在 cispa.de 的电子邮件经过验证
