Zhi-Li Chen

SAFEDT: A Privacy-Preserving Decision Tree Inference Framework Using Homomorphic Encryption

With the increasing application of machine learning in sensitive domains such as healthcare, the demand for privacy-preserving techniques in decision tree inference has grown urgent. Traditional decision trees, when executed in untrusted environments, pose a risk of exposing sensitive data to untrusted parties. Therefo...