SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures

Author:

Aslansefat KooroshORCID,Sorokos IoannisORCID,Whiting DeclanORCID,Tavakoli Kolagari RaminORCID,Papadopoulos YiannisORCID

Publisher

Springer International Publishing

Reference28 articles.

1. Alexander, R., et al.: Safety assurance objectives for autonomous systems (2020)

2. Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., Mané, D.: Concrete problems in AI safety. arXiv preprint arXiv:1606.06565 (2016)

3. Aslansefat, K.: How to make your classifier safe (2020). https://towardsdatascience.com/how-to-make-your-classifier-safe-46d55f39f1ad

4. Aslansefat, K., Gogani, M.B., Kabir, S., Shoorehdeli, M.A., Yari, M.: Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Trans. 97, 282–295 (2020)

5. Bellemare, M.G., et al.: The Cramer distance as a solution to biased Wasserstein gradients. arXiv preprint arXiv:1705.10743 (2017)

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