Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring

Privacy‐preserving federated learning based on multi‐key homomorphic encryption

(2022) Jing Ma et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Federated Learning for Healthcare: Systematic Review and Architecture Proposal

(2022) Rodolfo Stoffel Antunes et al.   ACM Transactions on Intelligent Systems and Technology

Privacy-Preserving Federated Learning Using Homomorphic Encryption

(2022) Jaehyoung Park et al.   Applied Sciences-Basel

Active intellectual property protection for deep neural networks through stealthy backdoor and users’ identities authentication

(2022) Mingfu Xue et al.   APPLIED INTELLIGENCE

Federated learning and differential privacy for medical image analysis

(2022) Mohammed Adnan et al.   Scientific Reports

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Adversarial frontier stitching for remote neural network watermarking

(2019) Erwan Le Merrer et al.   NEURAL COMPUTING & APPLICATIONS