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Homepage>IEEE Standards>35 INFORMATION TECHNOLOGY. OFFICE MACHINES>35.240 Applications of information technology>35.240.01 Application of information technology in general>IEEE 3304-2023 - IEEE Standard for Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Neural Network Watermarking (NNW) V1
Released: 12.02.2024

IEEE 3304-2023 - IEEE Standard for Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Neural Network Watermarking (NNW) V1

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

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Standard number:IEEE 3304-2023
Released:12.02.2024
ISBN:979-8-8557-0489-1
Pages:26
Status:Active
Language:English
DESCRIPTION

IEEE 3304-2023

The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1) a watermark inserter to inject a payload without deteriorating the neural network (NN) performance, 2) a watermark detector to recognize the presence and the watermark decoder to successfully retrieve the payload of the inserted watermark, and 3) a watermark inserter to inject a payload and the watermark detector/decoder to detect/decode a payload from a watermarked model or from any of its inferences at a measured computational cost.



New IEEE Standard - Active. This is an adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI)--Technical Specification Neural Network Watermarking as an IEEE Standard. The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1) a watermark inserter to inject a payload without deteriorating the neural network (NN) performance, 2) a watermark detector to recognize the presence and the watermark decoder to successfully retrieve the payload of the inserted watermark, and 3) a watermark inserter to inject a payload and the watermark detector/decoder to detect/decode a payload from a watermarked model or any of its inferences at a measured computational cost.