Verifiable Machine Learning Models in Industrial IoT via Blockchain

Author:

Stodt JanORCID,Ghajar Fatemeh GhovanlooyORCID,Reich ChristophORCID,Clarke NathanORCID

Publisher

Springer Nature Switzerland

Reference39 articles.

1. Leng, J., Wang, D., Shen, W., Li, X., Liu, Q., Chen, X.: Digital twins-based smart manufacturing system design in industry 4.0: a review. J. Manuf. Syst. 60, 119–137 (2021)

2. Nagar, D., Raghav, S., Bhardwaj, A., Kumar, R., Singh, P.L., Sindhwani, R.: Machine learning: best way to sustain the supply chain in the era of industry 4.0. Mater. Today: Proc. 47, 3676–3682 (2021)

3. ISO: ISO/IEC JTC 1/SC 42 - Artificial intelligence. https://www.iso.org/cms/render/live/en/sites/isoorg/contents/data/committee/67/94/6794475.html

4. Smuha, N.A.: The EU approach to ethics guidelines for trustworthy artificial intelligence. Comput. Law Rev. Int. 20(4), 97–106 (2019)

5. Huang, L., Joseph, A., Nelson, B., Rubinstein, B., Tygar, J.: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence (2011)

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