An empirical evaluation on the interpretable methods on Malware analysis
With the upsurge of cybersecurity attacks in recent years, there is a demand for more complex and accurate Malware classifiers to take the limelight. For these complex models to be trusted and be deployed in the wild, it is necessary for the results of these complex models to be explainable and thus...
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Main Author: | Ang, Alvis Jie Kai |
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Other Authors: | Liu Yang |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/148598 |
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Institution: | Nanyang Technological University |
Language: | English |
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