Author:
Pajon Quentin,Serre Swan,Wissocq Hugo,Rabaud Léo,Haidar Siba,Yaacoub Antoun
Publisher
Springer Science and Business Media LLC
Reference33 articles.
1. Youssef W F, Haidar S, Joly P. Automatic textual description of interactions between two objects in surveillance videos. SN Applied Sciences, 2021, 3(7): 695. DOI: https://doi.org/10.1007/s42452-021-04534-3.
2. Gosselin R, Vieu L, Loukil F, Benoit A. Privacy and security in federated learning: A survey. Applied Sciences, 2022, 12(19): 9901. DOI: https://doi.org/10.3390/app12199901.
3. Hu R, Guo Y X, Li H N, Pei Q Q, Gong Y M. Personalized federated learning with differential privacy. IEEE Internet of Things Journal, 2020, 7(10): 9530–9539. DOI: https://doi.org/10.1109/JIOT.2020.2991416.
4. Cheng Y, Liu Y, Chen T J, Yang Q. Federated learning for privacy-preserving AI. Communications of the ACM, 2020, 63(12): 33–36. DOI: https://doi.org/10.1145/3387107.
5. Crawford K, Schultz J. Big data and due process: Toward a framework to redress predictive privacy harms. Boston College Law Review, 2014, 55(1): 93–128.