Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks

1 code implementation • 4 Mar 2024 • Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang

Machine learning (ML) is vulnerable to inference (e. g., membership inference, property inference, and data reconstruction) attacks that aim to infer the private information of training data or dataset.

Inference Attack Privacy Preserving +1