Published March 5, 2024
| Version
V2.0
Methodological guideline
Open
Methodological guideline for ML Watermarking
Owner
Contributors
Contact persons:
-
Lucas MATTIOLI
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Najah BEN-SAID
-
Martin GONZALEZ
Description
This document aims to provide to a non-expert in ML models watermarking techniques a general overview of the needed information and best practices regarding the watermarking of a machine learning model. It also serves as a tool to use and understand the ML model watermarking component inside of the Confiance.ai ecosystem.
Files
Files
(2.7 MB)
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md5:50e8307ac7e713049486f0af92413138
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Additional details
Trustworthy Attributes
Robustness
Engineering activities
Functional Set
Model Component Life Cycle
Operation
Robustness