Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key
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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
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
- 2015Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Codingcited by 2,291
- 2015Learning both Weights and Connections for Efficient Neural Networkscited by 1,998
- 2017Mixed Precision Trainingcited by 1,135
- 2018Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooringcited by 334
- 2016EIE: Efficient Inference Engine on Compressed Deep Neural Networkcited by 291
- 2014Caffe: Convolutional Architecture for Fast Feature Embeddingcited by 287
- 2017Embedding Watermarks into Deep Neural Networkscited by 227
- 2017Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Ratescited by 196
- 2017Adversarial Frontier Stitching for Remote Neural Network Watermarkingcited by 110
15 more
- 2019[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attackscited by 82
- 2018Digital Watermarking for Deep Neural Networkscited by 37
- 2018Learnable Image Encryptioncited by 33
- 2018Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Imagescited by 33
- 2020Block-wise Image Transformation with Secret Key for Adversarially Robust Defensecited by 30
- 2020Block-wise Scrambled Image Recognition Using Adaptation Networkcited by 27
- 2020A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networkscited by 27
- 2018DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networkscited by 23
- 2019Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domaincited by 19
- 2021Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Appscited by 19
- 2020Encryption Inspired Adversarial Defense for Visual Classificationcited by 17
- 2018DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Modelscited by 16
- 2020Training DNN Model with Secret Key for Model Protectioncited by 14
- 2020A Privacy-Preserving Machine Learning Scheme Using EtC Imagescited by 9
- 2020Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluationcited by 8
Built on by
Citing papers per year: 2021: 1; 2022: 5; 2023: 2; 2024: 1.
9 papers.
- 2022An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applicationscited by 29
- 2023Wide Flat Minimum Watermarking for Robust Ownership Verification of GANscited by 10
- 2021A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Accesscited by 4
- 2024DeepEclipse: How to Break White-Box DNN-Watermarking Schemescited by 4
- 2022Access Control of Semantic Segmentation Models Using Encrypted Feature Mapscited by 3
- 2022Access Control of Object Detection Models Using Encrypted Feature Mapscited by 1
- 2022Access Control with Encrypted Feature Maps for Object Detection Modelscited by 1
- 2022An Access Control Method with Secret Key for Semantic Segmentation Modelscited by 0
- 2023A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Modelscited by 0
- 2024DeepEclipse: How to Break White-Box DNN-Watermarking Schemes6 Mar 2024
- 2023Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs25 Oct 2023
- 2023A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models10 Jan 2023
- 2022Access Control with Encrypted Feature Maps for Object Detection Models29 Sep 2022
- 2022An Access Control Method with Secret Key for Semantic Segmentation Models28 Aug 2022
- 2022Access Control of Semantic Segmentation Models Using Encrypted Feature Maps11 Jun 2022
- 2022Access Control of Object Detection Models Using Encrypted Feature Maps1 Feb 2022
- 2022An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications26 Jan 2022
- 2021A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access1 Sep 2021