Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks

Author:

Yao Likai,Tunc Cihan,Satam Pratik,Hariri Salim

Publisher

Springer International Publishing

Reference21 articles.

1. Dalvi, N., Domingos, P., Sanghai, S., Verma, D.: Adversarial classification. In: Proceedings of the tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 99–108 (2004)

2. Biggio, B., et al.: Evasion attacks against machine learning at test time. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2013)

3. Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014)

4. Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672–2680 (2014)

5. Biggio, B., Roli, F.: Wild patterns: ten years after the rise of adversarial machine learning. Pattern Recogn. 84, 317–331 (2018)

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