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PUMA: Programmable UI-Automation for Large-Scale Dynamic Analysis of Mobile Apps∗
PDF) Computing Adaptive Feature Weights with PSO to Improve Android Malware Detection
PUMA: Programmable UI-Automation for Large-Scale Dynamic Analysis of Mobile Apps∗
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Systematically Landing Machine Learning onto Market-Scale Mobile Malware Detection
![PDF] PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/2166ed56495a8e528f891067a138f63913e9fb00/13-Figure5-1.png "PDF] PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps | Semantic Scholar")
PDF] PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps | Semantic Scholar
PDF) N-gram Opcode Analysis for Android Malware Detection
GitHub - USC-NSL/PUMA: Programmable UI-Automation Framework for Dynamic App Analysis
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PDF] PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps | Semantic Scholar
Android Security: A Survey of Issues, Malware Penetration and Defenses
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Meet PUMA's TOP Ambassadors from Asia-Pacific - PUMA CATch up
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