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cs.LG2024★ 1 cited
A GAN-based data poisoning framework against anomaly detection in vertical federated learning
Xiaolin Chen, Daoguang Zan, Wei Li +2
In vertical federated learning (VFL), commercial entities collaboratively train a model while preserving data privacy. However, a malicious participant's poisoning attack may degra…
cs.LG2021★ 1 cited
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Xiaolin Chen, Shuai Zhou, Bei guan +4
The increasing concerns about data privacy and security drive an emerging field of studying privacy-preserving machine learning from isolated data sources, i.e., federated learning…