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Understanding the purpose of why sensitive data is used could help improve privacy as well as enable new kinds of access control. In this paper, we introduce a new technique for inferring the purpose of sensitive data usage in the context of Android smartphone apps. We extract multiple kinds of features from decompiled code, focusing on app-specific features and text-based features. These features are then used to train a machine learning classifier. We have evaluated our approach in thedoi:10.1145/2750858.2805833 dblp:conf/huc/WangHG15 fatcat:2tggr42drrdznmywbmbmxtg6nu