| Title | Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? |
| Author | |
| DOI | |
| Publication Years | 2022-10-31
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| Conference Name | The 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022)
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| ISSN | 1071-9458
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| ISBN | 978-1-6654-5133-8
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| Source Title | |
| Pages | 169-180
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| Conference Date | 31 Oct.-3 Nov. 2022
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| Conference Place | Charlotte, NC, USA
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| Keywords | |
| SUSTech Authorship | Others
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| Language | English
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| URL | [Source Record] |
| Indexed By | |
| Data Source | IEEE
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| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9978981 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/424434 |
| Department | Department of Computer Science and Engineering |
| Affiliation | 1.Faculty of Information Technology, Monash University, Melbourne, Australia 2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Yue Liu,Chakkrit Tantithamthavorn,Li Li,et al. Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?[C],2022:169-180.
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| Files in This Item: | There are no files associated with this item. | |||||
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