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

IEEE Std 3304-2023

Organization:
IEEE - The Institute of Electrical and Electronics Engineers, Inc.
Year: 2024

IEEE - The Institute of Electrical and Electronics Engineers, Inc.

Abstract: 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.
URI: http://yse.yabesh.ir/std;jsessionid=A33FFBB4A04818B251172099FA6814F7/handle/yse/336431
Subject: Neural Network Watermarking
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    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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contributor authorIEEE - The Institute of Electrical and Electronics Engineers, Inc.
date accessioned2024-12-17T08:46:51Z
date available2024-12-17T08:46:51Z
date copyright12 February 2024
date issued2024
identifier other10431696.pdf
identifier urihttp://yse.yabesh.ir/std;jsessionid=A33FFBB4A04818B251172099FA6814F7/handle/yse/336431
description abstractThis 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.
languageEnglish
publisherIEEE - The Institute of Electrical and Electronics Engineers, Inc.
titleIEEE Standard for Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Neural Network Watermarking (NNW) V1en
titleIEEE Std 3304-2023num
typestandard
page26
treeIEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2024
contenttypefulltext
subject keywordsNeural Network Watermarking
subject keywordsAI framework
subject keywordsMPAI-NNW
subject keywordsIEEE 3304™
subject keywordsArtificial Intelligence
subject keywordsadoption
identifier DOI10.1109/IEEESTD.2024.10431696
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