- Dimension|independent Certified Neural Network Watermarks via ...🔍
- Dimension|independent certified neural network watermarks via ...🔍
- Dimension|independent Certified Neural Network Watermarks ...🔍
- Certified Neural Network Watermarks with Randomized Smoothing🔍
- a hitchhiker's guide to white|box neural network watermarking🔍
- Deep fidelity in DNN watermarking🔍
- On Function|Coupled Watermarks for Deep Neural Networks🔍
- Cracking White|box DNN Watermarks via Invariant Neuron Transforms🔍
Dimension|independent Certified Neural Network Watermarks via ...
Dimension-independent Certified Neural Network Watermarks via ...
This paper proposes a mollifier smoothing method with dimension-independent certified radius of our proposed smooth classifier, for conducting the certified ...
Dimension-independent Certified Neural Network Watermarks via ...
Certified Watermarks is the first to provide a wa- termark certificate against l2-norm watermark removal attacks, by leveraging the randomized.
Dimension-independent certified neural network watermarks via ...
By leveraging mollifier theory, this paper proposes a mollifier smoothing method with dimension-independent certified radius of our proposed ...
Dimension-independent Certified Neural Network Watermarks ... - dblp
Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan: Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing.
Certified Neural Network Watermarks with Randomized Smoothing
In this paper, we propose a certifiable watermarking method. Using the randomized smoothing technique proposed in Chiang et al., we show that our watermark is ...
a hitchhiker's guide to white-box neural network watermarking - HAL
Inserted by an authorized user, the watermark detection is expected to ... The watermark is inserted via a regularization term making the inference ...
Deep fidelity in DNN watermarking: A study of backdoor ...
Deep neural networks watermark via universal deep hiding and metric learning ... He holds a Singapore patent (licensed) and a Chinese patent (transferred) on ...
On Function-Coupled Watermarks for Deep Neural Networks - arXiv
[36] propose a novel method for embedding and extracting watermarks by using an independent neural net- work to process the model weights ...
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
4 Excerpts. Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing · Jiaxiang RenYang ZhouJiayin JinLingjuan LyuDa Yan. Computer ...
A Systematic Review on Model Watermarking for Neural Networks
The last dimension along which to classify watermarking schemes for NNs concerns the uniqueness of the watermarks, that is, the question whether ...
Copyright protection of deep neural network models using digital ...
They used this independent neural network in the training stage and watermark verification stage, but it was not released publicly. Their ...
A survey of deep neural network watermarking techniques - Usiena air
ditional independent neural network to embed and extract the watermark. In ... Watermarking in deep neural networks via error back-propagation.
ZJZAC/awesome-deep-model-IP-protection - GitHub
Watermarking in Deep Neural Networks via Error Back-propagation：using an independent network ... Certified Watermarks for Neural Networks：Using the ...
Semi-fragile neural network watermarking for content authentication ...
The algorithm randomly generates some trigger images, and completes the watermark embedding through two steps of alternate training. According to the outputs of ...
A Deep Learning–based Audio-in-Image Watermarking Scheme
[13] proposed to embed a watermark into a gray- scale cover-image with manual frequency-domain methods and extract it with a convolutional neural network.
Finetuning. • Initializes their model with our original model, and then finetunes their model using labeled data. • l2. Adversary. • Adversary is allowed to ...
Embedding Watermarks into Deep Neural Networks | Request PDF
As an early representative of this category, Uchida et al. (2017) proposed to embed a bit string as the watermark into image classification models via ...
pca - Does Neural Networks based classification need a dimension ...
In principle, the linear transformation performed by PCA can be performed just as well by the input layer weights of the neural network, ...
Watermarking in deep neural networks via error back-propagation
We pro- pose to mark a DNN by inserting an independent neural network that allows us to use selective weights for watermarking. The in- dependent neural network ...
When Federated Learning Meets Watermarking: A Comprehensive ...
... using, the proposed methods must be independent of this parameter. For the ... neural network models using digital watermarking: A comparative study.