Author:
Sreevallabh Chivukula Aneesh,Yang Xinghao,Liu Bo,Liu Wei,Zhou Wanlei
Publisher
Springer International Publishing
Reference72 articles.
1. N. Akhtar and A. S. Mian, Threat of adversarial attacks on deep learning in computer vision: A survey, IEEE Access, 6 (2018), pp. 14410–14430.
2. K. Asif, W. Xing, S. Behpour, and B. D. Ziebart, Adversarial cost-sensitive classification, in Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI’15, Arlington, Virginia, USA, 2015, AUAI Press, pp. 92–101.
3. B. Biggio, I. Corona, D. Maiorca, B. Nelson, N. Šrndić, P. Laskov, G. Giacinto, and F. Roli, Evasion attacks against machine learning at test time, in Machine Learning and Knowledge Discovery in Databases, H. Blockeel, K. Kersting, S. Nijssen, and F. Železný, eds., Berlin, Heidelberg, 2013, Springer Berlin Heidelberg, pp. 387–402.
4. ——, Multiple classifier systems for adversarial classification tasks, in Multiple Classifier Systems, J. A. Benediktsson, J. Kittler, and F. Roli, eds., Berlin, Heidelberg, 2009, Springer Berlin Heidelberg, pp. 132–141.
5. B. Biggio, G. Fumera, and F. Roli, Multiple classifier systems for robust classifier design in adversarial environments, Journal of Machine Learning and Cybernetics, 1 (2010), p. 27–41.