Hijack Vertical Federated Learning Models with Adversarial Embedding

12/01/2022
by   Pengyu Qiu, et al.
0

Vertical federated learning (VFL) is an emerging paradigm that enables collaborators to build machine learning models together in a distributed fashion. In general, these parties have a group of users in common but own different features. Existing VFL frameworks use cryptographic techniques to provide data privacy and security guarantees, leading to a line of works studying computing efficiency and fast implementation. However, the security of VFL's model remains underexplored.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset