mlsanityData to 13 Oct 2026

Training DNN Model with Secret Key for Model Protection

arXiv 2008.02450 ↗First posted 6 Aug 2020cs.LG cs.CR stat.MLcited by 14

Not on the map. Why?

Abstract (arXiv)

In this paper, we propose a model protection method by using block-wise pixel shuffling with a secret key as a preprocessing technique to input images for the first time. The protected model is built by training with such preprocessed images. Experiment results show that the performance of the protected model is close to that of non-protected models when the key is correct, while the accuracy is severely dropped when an incorrect key is given, and the proposed model protection is robust against not only brute-force attacks but also fine-tuning attacks, while maintaining almost the same performance accuracy as that of using a non-protected model.

Key facts. Cited by 14 papers in the map (data through 13 Oct 2026). First posted on arXiv 6 Aug 2020.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 8; 2022: 1; 2023: 2; 2024: 2; 2025: 1.

14 papers.

Sort:

By area: