Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks 2022
DOI: 10.1145/3507657.3528543
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PAcT: Detecting and Classifying Privacy Behavior of Android Applications

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Cited by 3 publications
(2 citation statements)
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“…Another idea is to leverage Neural Machine Translation (NMT) approaches to generate real-time and accurate privacy notices automatically from IoT applications' source code. In recent years, research leverages NMT approaches to translate sensitive information flows to generate simple privacy notices [169], [170] from Android applications' source code. Such automated approaches ensure accurate privacy notices which help remaining consistent throughout out applications' lifecycle.…”
Section: B Opportunities For Future Workmentioning
confidence: 99%
“…Another idea is to leverage Neural Machine Translation (NMT) approaches to generate real-time and accurate privacy notices automatically from IoT applications' source code. In recent years, research leverages NMT approaches to translate sensitive information flows to generate simple privacy notices [169], [170] from Android applications' source code. Such automated approaches ensure accurate privacy notices which help remaining consistent throughout out applications' lifecycle.…”
Section: B Opportunities For Future Workmentioning
confidence: 99%
“…Another idea is to leverage Neural Machine Translation (NMT) approaches to generate real-time and accurate privacy notices automatically from IoT applications' source code. In recent years, research leverages NMT approaches to translate sensitive information flows to generate simple privacy notices [169], [170] from Android applications' source code. Such automated approaches ensure accurate privacy notices which help remaining consistent throughout out applications' lifecycle.…”
Section: B Opportunities For Future Workmentioning
confidence: 99%