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Gradient Correlation: Are Ensemble Classifiers More Robust Against Evasion Attacks in Practical Settings?

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)
ISBN: 9783030029210
Uncontrolled Keywords: system detection; spam filtering; malware detection; SVMs; multiple classifiers; ensemble learning; security; robustness; accuracy
Subjects: FOR Classification > 0803 Computer Software
FOR Classification > 0806 Information Systems
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 22 May 2019 02:18
Last Modified: 22 May 2019 02:24
URI: http://vuir.vu.edu.au/id/eprint/38532
DOI: https://doi.org/10.1007/978-3-030-02922-7_7
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Citations in Scopus: 0 - View on Scopus

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