mlsanityData to 14 Oct 2026

Protection of SVM Model with Secret Key from Unauthorized Access

arXiv 2111.08927 ↗First posted 17 Nov 2021cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 9 references that are in the map. First posted on arXiv 17 Nov 2021.

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5 of 9 references.

References · 5

  1. 2019[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attackscited by 88
  2. 2018Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Imagescited by 34
  3. 2020Block-wise Image Transformation with Secret Key for Adversarially Robust Defensecited by 30
  4. 2021A Protection Method of Trained CNN Model with Secret Key from Unauthorized Accesscited by 15
  5. 2020A Privacy-Preserving Machine Learning Scheme Using EtC Imagescited by 9

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