Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.
Yuchen YangHaolin YuanBo HuiNeil Zhenqiang GongNeil FendleyPhilippe BurlinaYinzhi CaoPublished in: DSN (2023)
Keyphrases
- learning algorithm
- learning process
- neural network
- online learning
- supervised learning
- levels of abstraction
- real time
- client server
- learning systems
- prior knowledge
- artificial intelligence
- artificial neural networks
- digital libraries
- distributed systems
- reinforcement learning
- case study
- background knowledge
- learning problems
- information systems
- inductive inference