Neural Network Watermarking

Important Information: Deadline for responses to the Call is 24 October

Neural Network Watermarking (NNW) is a standard project  providing the means to measure, for a given size of the watermarking payload, the ability of:

  1. The watermark inserter to inject a payload without deteriorating the NN performance.
  2. The watermark detector to recognise the presence and the watermark decoder to successfully retrieve the payload of the inserted watermark.
  3. The 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.

MPAI is calling for technologies allowing a user to quality a neural network watermarking technologies as regards the three functions above:

  1. MPAI NNW Call for Technologies (deadline for responses: 24 October)
  2. MPAI-NNW Use Cases and Functional Requirements
  3. MPAI-NNW Framework Licence
  4. MPAI-NNW Template for responses

Other relevant documents are:

Visit the About MPAI-NNW page.


As this is MPAI activity is now expecting to receive submissions in response to the Call for Technologies, and until responses are assessed, its meetings are  open to non MPAI members. Contact the MPAI secretariat for more information.