UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

IEEE - P3304/D1

Draft Standard Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Neural Network Watermarking (MPAI-NNW) V1

pending, Most Current
Organization: IEEE
Publication Date: 1 May 2022
Status: pending
Page Count: 24
scope:

Scope of Standard

MPAI-NNW specifies methodologies to evaluate the following aspects of a neural network watermarking technology:

• The impact on the performance of a watermarked neural network and its inference.

• The ability of a neural network watermarking detector/decoder to detect/decode a payload when the watermarked neural network has been modified.

• The computational cost of injecting, detecting, or decoding a payload in the watermarked neural network.

The standard assumes that:

• The neural network watermarking technology to be evaluated according to this standard is publicly available.

• The watermarking key is unknown during evaluation.

• The performance of the neural network watermarking technology does not depend on a specific key.

This Technical Specification has been developed by the MPAI Neural Network Watermarking Development Committee (NNW-DC). As the neural network watermarking area is fast-evolving, MPAI expects it will produce future MPAI-NNW versions providing methods to cope with technology evolution.

Document History

P3304/D1
May 1, 2022
Draft Standard Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Neural Network Watermarking (MPAI-NNW) V1
Scope of Standard MPAI-NNW specifies methodologies to evaluate the following aspects of a neural network watermarking technology: • The impact on the performance of a watermarked neural network and...
Advertisement