Release Time:2025-11-27  Hits:

Date of Publication: 2024-11-19

Journal: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volume: 573 LNICST

Page Number: 320-332

ISSN: 1867-8211

Key Words: Adversarial machine learning; Breakings; Contrastive Learning; Data informations; Differential privacies; Information leakage; Machine learning models; Modeling parameters; Personalized federated learning; Privacy protection; Self-supervised learning; Training data; User data; User terminals