Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?-Reference-Cited by-同舟云学术

Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?

Published:2020 Issue: Volume: Page:615-628
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Choraś Michał,Pawlicki Marek,Puchalski Damian,Kozik Rafał

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-50423-6_46

Reference42 articles.

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3. Liao, X., Ding, L., Wang, Y.: Secure machine learning, a brief overview. In: 2011 Fifth International Conference on Secure Software Integration and Reliability Improvement-Companion, pp. 26–29. IEEE (2011)

4. Papernot, N., McDaniel, P., Sinha, A., Wellman, M.P.: SoK: security and privacy in machine learning. In: 2018 IEEE European Symposium on Security and Privacy (EuroS&P), pp. 399–414. IEEE (2018)

5. Biggio, B., Nelson, B., Laskov, P.: Poisoning attacks against support vector machines. arXiv preprint arXiv:1206.6389 (2012)

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