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- ArticleSeptember 2013
Evasion attacks against machine learning at test time
- Battista Biggio,
- Igino Corona,
- Davide Maiorca,
- Blaine Nelson,
- Nedim Šrndić,
- Pavel Laskov,
- Giorgio Giacinto,
- Fabio Roli
ECMLPKDD'13: Proceedings of the 2013th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part IIIPages 387–402https://doi.org/10.1007/978-3-642-40994-3_25In security-sensitive applications, the success of machine learning depends on a thorough vetting of their resistance to adversarial data. In one pertinent, well-motivated attack scenario, an adversary may attempt to evade a deployed system at test time ...