mlsanityData to 7 Oct 2026

Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key

arXiv 2104.04241 ↗First posted 9 Apr 2021cs.CV cs.CR eess.IVcited by 9

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Abstract (arXiv)

In this paper, we propose a novel DNN watermarking method that utilizes a learnable image transformation method with a secret key. The proposed method embeds a watermark pattern in a model by using learnable transformed images and allows us to remotely verify the ownership of the model. As a result, it is piracy-resistant, so the original watermark cannot be overwritten by a pirated watermark, and adding a new watermark decreases the model accuracy unlike most of the existing DNN watermarking methods. In addition, it does not require a special pre-defined training set or trigger set. We empirically evaluated the proposed method on the CIFAR-10 dataset. The results show that it was resilient against fine-tuning and pruning attacks while maintaining a high watermark-detection accuracy.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 27 of its 42 references that are in the map. First posted on arXiv 9 Apr 2021.

Builds on

27 of 42 references.

References · 27

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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15 more
  1. 2019[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attackscited by 82
  2. 2018Digital Watermarking for Deep Neural Networkscited by 37
  3. 2018Learnable Image Encryptioncited by 33
  4. 2018Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Imagescited by 33
  5. 2020Block-wise Image Transformation with Secret Key for Adversarially Robust Defensecited by 30
  6. 2020Block-wise Scrambled Image Recognition Using Adaptation Networkcited by 27
  7. 2020A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networkscited by 27
  8. 2018DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networkscited by 23
  9. 2019Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domaincited by 19
  10. 2021Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Appscited by 19
  11. 2020Encryption Inspired Adversarial Defense for Visual Classificationcited by 17
  12. 2018DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Modelscited by 16
  13. 2020Training DNN Model with Secret Key for Model Protectioncited by 14
  14. 2020A Privacy-Preserving Machine Learning Scheme Using EtC Imagescited by 9
  15. 2020Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluationcited by 8

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Cited by year

Citing papers per year: 2021: 1; 2022: 5; 2023: 2; 2024: 1.

9 papers.