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deepsigns's Introduction

DeepSigns

This repository provides an API for DeepSign framework. DeepSign is an end-to-end watermarking framework for IP protection of deep neural networks. The paper 'DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models' is available on arXiv: https://arxiv.org/abs/1804.00750. Detailed description of different experiments can be found in our paper.

Python Packages Required:

Keras 1.1.2, Tensorflow 0.12.1

Contact Info:

If you have any questions, please email [email protected] or [email protected].

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deepsigns's Issues

How to install deepsigns?

Hi,

Can you release the source code of DeepSigns? Otherwise, we cannot run your examples (cannot import deepsigns package) and do further work.

Thanks

What is the definition in of N-bit?

Hi, I have some question on the original paper:

"Authors in [11, 12] propose an N-bit (N โ‰ฅ 1) watermarking approach for embedding the IP information in the static content (i.e., weight matrices) of DL models."

"More recent studies in [13, 14] propose 1-bit watermarking methodologies for DL models."

What is the definition of the concept of N-bit? Why [13,14] are two 1-bit watermarking approaches?

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