HufuNet: embedding the left piece as watermark and keeping the right piece for ownership verification in deep neural networks

P Lv, P Li, S Zhang, K Chen, R Liang, Y Zhao… - arXiv preprint arXiv …, 2021 - arxiv.org
Due to the wide use of highly-valuable and large-scale deep neural networks (DNNs), it
becomes crucial to protect the intellectual property of DNNs so that the ownership of …

A novel method for identifying the deep neural network model with the serial number

XR Xu, YQ Li, C Yuan - arXiv preprint arXiv:1911.08053, 2019 - arxiv.org
Deep neural network (DNN) with the state of art performance has emerged as a viable and
lucrative business service. However, those impressive performances require a large number …

Provenance of training without training data: Towards privacy-preserving dnn model ownership verification

Y Liu, K Li, Z Liu, B Wen, K Xu, W Wang… - Proceedings of the ACM …, 2023 - dl.acm.org
In the era of deep learning, it is critical to protect the intellectual property of high-
performance deep neural network (DNN) models. Existing proposals, however, are subject …

[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

L Fan, KW Ng, CS Chan - arXiv preprint arXiv:1909.07830, 2019 - arxiv.org
With substantial amount of time, resources and human (team) efforts invested to explore and
develop successful deep neural networks (DNN), there emerges an urgent need to protect …

Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks

L Fan, KW Ng, CS Chan - Advances in neural information …, 2019 - proceedings.neurips.cc
With substantial amount of time, resources and human (team) efforts invested to explore and
develop successful deep neural networks (DNN), there emerges an urgent need to protect …

Deepipr: Deep neural network ownership verification with passports

L Fan, KW Ng, CS Chan, Q Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With substantial amount of time, resources and human (team) efforts invested to explore and
develop successful deep neural networks (DNN), there emerges an urgent need to protect …

DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification

J Stang, T Krauß, A Dmitrienko - arXiv preprint arXiv:2403.06581, 2024 - arxiv.org
The surge in popularity of machine learning (ML) has driven significant investments in
training Deep Neural Networks (DNNs). However, these models that require resource …

[PDF][PDF] Black-box ownership verification for dataset protection via backdoor watermarking

Y Li, M Zhu, X Yang, Y Jiang, ST Xia - arXiv preprint arXiv …, 2022 - researchgate.net
Deep learning, especially deep neural networks (DNNs), has been widely and successfully
adopted in many critical applications for its high effectiveness and efficiency. The rapid …

Customized and Robust Deep Neural Network Watermarking

TY Chien, CY Shen - Proceedings of the 17th ACM International …, 2024 - dl.acm.org
As the excellent performance of deep neural networks (DNNs) enhances a wide spectrum of
applications, the protection of intellectual property (IP) of DNNs receives increasing attention …

MEA-Defender: A Robust Watermark against Model Extraction Attack

P Lv, H Ma, K Chen, J Zhou, S Zhang, R Liang… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, numerous highly-valuable Deep Neural Networks (DNNs) have been trained
using deep learning algorithms. To protect the Intellectual Property (IP) of the original …