Articles with "models evasion" as a keyword



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Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks

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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2020.2987299

Abstract: Machine learning models have been widely used in security applications. However, it is well-known that adversaries can adapt their attacks to evade detection. There has been some work on making machine learning models more robust… read more here.

Keywords: tree based; models evasion; approach; robustness tree ... See more keywords