Digestive neural networks: A novel defense strategy against inference attacks in federated learning

Privacy-preserving and Communication-efficient Federated Learning in Internet of Things

(2021) Chen Fang et al.   COMPUTERS & SECURITY

Highly efficient federated learning with strong privacy preservation in cloud computing

(2020) Chen Fang et al.   COMPUTERS & SECURITY

EaSTFLy: Efficient and secure ternary federated learning

(2020) Ye Dong et al.   COMPUTERS & SECURITY

An Efficient Approach for Privacy Preserving Decentralized Deep Learning Models based on Secure Multi-Party Computation

(2020) Anh-Tu Tran et al.   NEUROCOMPUTING

Adversarial Privacy-Preserving Graph Embedding Against Inference Attack

(2020) Kaiyang Li et al.   IEEE Internet of Things Journal

Dimension Reduction Algorithm Based on Adaptive Maximum Linear Neighborhood Selection in Edge Computing

(2020) Guangshun Li et al.   IEEE Internet of Things Journal

Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices

(2018) Yi Liang et al.   IEEE NETWORK