3 papers
cs.CR2025
FederBoost: Private Federated Learning for GBDT
Zhihua Tian, Rui Zhang, Xiaoyang Hou +4
Federated Learning (FL) has been an emerging trend in machine learning and artificial intelligence. It allows multiple participants to collaboratively train a better global model a…
cs.LG2024
Attributed Graph Clustering in Collaborative Settings
Rui Zhang, Xiaoyang Hou, Zhihua Tian +5
Graph clustering is an unsupervised machine learning method that partitions the nodes in a graph into different groups. Despite achieving significant progress in exploiting both at…
cs.CR2024
False Claims against Model Ownership Resolution
Jian Liu, Rui Zhang, Sebastian Szyller +2
Deep neural network (DNN) models are valuable intellectual property of model owners, constituting a competitive advantage. Therefore, it is crucial to develop techniques to protect…