| An exploratory analysis on users’ contributions in federated learning J Huang, R Talbi, Z Zhao, S Boucchenak, LY Chen, S Roos 2020 second IEEE international conference on trust, privacy and security in …, 2020 | 45 | 2020 |
| Exploratory study of privacy preserving fraud detection R Canillas, R Talbi, S Bouchenak, O Hasan, L Brunie, L Sarrat Proceedings of the 19th International Middleware Conference Industry, 25-31, 2018 | 19 | 2018 |
| Towards dynamic end-to-end privacy preserving data classification R Talbi, S Bouchenak, LY Chen 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018 | 9 | 2018 |
| Robust federated learning for ubiquitous computing through mitigation of edge-case backdoor attacks F Elhattab, S Bouchenak, R Talbi, V Nitu Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 8 | 2023 |
| Towards Practical Privacy-Preserving Collaborative Machine Learning at a Scale R Talbi 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems …, 2020 | 3 | 2020 |
| Towards mitigating poisoning attacks in federated learning E Fatima, R Talbi, S Bouchenak, V Nitu ComPAS’2021: Parallélisme/Architecture/Système MILC-Lyon, 2021 | 1 | 2021 |
| Robust and privacy preserving distributed machine learning R Talbi Université de Lyon, 2021 | | 2021 |
| Towards Scalable, Efficient and Privacy Preserving Machine Learning R Talbi, S Bouchenak Middleware'18 Doctoral Symposium, 2018 | | 2018 |
| TPS-ISA 2020 J Huang, R Talbi, Z Zhao, S Boucchenak, S Roos | | |
| Towards Incremental End-to-End Privacy Preserving Data Classification R Talbi | | |
Lydia Y. ChenUniversity of Neuchatel/ TU DelftVerified email at ieee.org
