Foreword

Introduction

Scope

Definitions

References

 Use Cases

Robustness Evaluation

Computational Cost Evaluation

Imperceptibility Evaluation
Technical Specification: Neural Network Watermarking (MPAI-NNW) – Neural Network Traceability (MPAI-NNT) V1.0 specifies methods to evaluate the following aspects of Active (Watermarking) and Passive (Fingerprinting) Neural Network Traceability Methods:

  • Ability of a Neural Network Traceability Detector/Decoder to detect/decode/match Traceability Data when the traced Neural Network has been modified.
  • Computational cost of injecting, extracting, detecting, decoding, or matching Traceability Data.
  • Specifically for active tracing methods, impact on the performance of a neural network with inserted Traceability Data and its inference.

WARNING

Use of the technologies described in this Technical Specification may infringe patents, copyrights or intellectual property rights of MPAI Members or non-members.

MPAI and its Members accept no responsibility whatsoever for damages or liability, direct or consequential, which may result from the use of this Technical Specification.

Readers are invited to review Notices and Disclaimers.

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