Protection of SVM Model with Secret Key from Unauthorized Access

TL;DR

This paper introduces a secret key-based image transformation technique to protect SVM models, ensuring only authorized users with the key can achieve high performance, demonstrated through facial recognition experiments.

Contribution

The paper presents a novel block-wise image transformation method with a secret key to enhance SVM model security against unauthorized access.

Findings

Unauthorized users perform poorly without the key

Authorized users with the key achieve high accuracy

Method remains robust with kernel functions in facial recognition

Abstract

In this paper, we propose a block-wise image transformation method with a secret key for support vector machine (SVM) models. Models trained by using transformed images offer a poor performance to unauthorized users without a key, while they can offer a high performance to authorized users with a key. The proposed method is demonstrated to be robust enough against unauthorized access even under the use of kernel functions in a facial recognition experiment.