<-Definitions Go to ToC Procedures ->
1 Normative references
- MPAI; Technical Specification; AI Framework (MPAI-AIF) V2.2 https://mpai.community/standards/mpai-aif/
- MPAI; Technical Specification; Neural Network Watermarking (MPAI-NNW) – Neural Network Traceability (NNW-NNT) V1.1 https://mpai.community/standards/mpai-nnw/nnt/v1-1/
1 Informative references
- MPAI; The MPAI Statutes; https://mpai.community/statutes/
- MPAI; The MPAI Patent Policy; https://mpai.community/about/the-mpai-patent-policy/ .
- MPAI; Framework Licence; Neural Network Watermarking (MPAI-NNW) – Neural Network Traceability (NNW-NNT); https://mpai.community/standards/mpai-nnw/framework-licence/
- Technical Specification: The Governance of the MPAI Ecosystem V0, 2025; https://mpai.community/standards/mpai-gme/
- J. Cox, M. L. Miller, J. A. Bloom, J. Fridrich, and T. Kalker, Eds., Digital Watermarking and Steganography. in The Morgan Kaufmann Series in Multimedia Information and Systems. Burlington: Morgan Kaufmann, 2007. doi: 10.1016/B978-012372585-1.50001-2.
- Uchida, Y. Nagai, S. Sakazawa, and S. Satoh, “Embedding Watermarks into Deep Neural Networks,” Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, pp. 269–277, Jun. 2017, doi: 10.1145/3078971.3078974.
- Adi, C. Baum, M. Cisse, B. Pinkas, and J. Keshet, “Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring,” presented at the 27th USENIX Security Symposium (USENIX Security 18), Aug. 2018, pp. 1615–1631. [Online]. Available: https://www.usenix.org/conference/usenixsecurity18/presentation/adi
