Hijack Vertical Federated Learning Models As One Party

no code implementations • 1 Dec 2022 • Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang

Vertical federated learning (VFL) is an emerging paradigm that enables collaborators to build machine learning models together in a distributed fashion.

Vertical Federated Learning

HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning

no code implementations • 1 Dec 2022 • Pengyu Qiu, Xuhong Zhang, Shouling Ji, Chong Fu, Xing Yang, Ting Wang

Our work shows that hashing is a promising solution to counter data reconstruction attacks.

Reconstruction Attack Vertical Federated Learning