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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