Gradient Correlation: Are Ensemble Classifiers More Robust Against Evasion Attacks in Practical Settings?
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Zhang, F, Wang, Y and Wang, Hua ORCID: 0000-0002-8465-0996
(2018)
Gradient Correlation: Are Ensemble Classifiers More Robust Against Evasion Attacks in Practical Settings?
In: 19th International Conference on Web Information Systems Engineering (WISE 2018), 12 November –15 November 2018, Dubai, UAE.
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Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/38532 |
DOI | https://doi.org/10.1007/978-3-030-02922-7_7 |
Official URL | https://link.springer.com/chapter/10.1007%2F978-3-... |
ISBN | 9783030029210 |
Subjects | Historical > FOR Classification > 0803 Computer Software Historical > FOR Classification > 0806 Information Systems Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | system detection; spam filtering; malware detection; SVMs; multiple classifiers; ensemble learning; security; robustness; accuracy |
Citations in Scopus | 6 - View on Scopus |
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