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Dec 17, 2023 · In this paper, we address this problem by proposing a machine learning dynamic analysis approach that provides provably valid confidence guarantees in each ...
Our experimental results on a real Android device demonstrate the empirical validity and both the informational and computational efficiency of our approach.
Sep 2, 2016 · With a confidence level as high as 99 %, i.e. guaranteeing only 1 % of errors, we can be certain in 63.7 % of applications on whether they are ...
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Our experimental results on a real Android device demonstrate the empirical validity and both the informational and computational efficiency of our approach.
Mar 6, 2018 · In this paper, we address this problem by proposing a machine learning dynamic analysis approach that provides provably valid confidence ...
(2016) Malware Detection with Confidence Guarantees on Android Devices. Proceedings of the 12th IFIP WG 12.5 International Conference and Workshops ...
Malware Detection with Confidence Guarantees on Android Devices. https://doi.org/10.1007/978-3-319-44944-9_35 · Full text.
In this paper, we address this problem by proposing a machine learning dynamic analysis approach that provides provably valid confidence guarantees in each ...
In this paper, we address this problem by proposing a machine learning dynamic analysis approach that provides provably valid confidence guarantees in each ...
Our experimental results on a real Android device demonstrate the empirical validity and both the informational and computational efficiency of our approach.
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