Jan 20, 2023 · We design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is proved in the random oracle model.
Mar 29, 2024 · We design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is proved in the random oracle model.
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Mar 29, 2024 · As an application, we design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is ...
Jan 23, 2023 · We design an efficient virtual black-box obfuscator for binary decision trees and use the random oracle paradigm to analyze the security of our ...
As an application, we design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is proved in the ...
Apr 5, 2024 · We use the proposed framework in order to estimate the semantic similarity of decision trees induced from different subsamples of classification ...
As an application, we design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is proved in the ...
Obfuscating Evasive Decision Trees. https://doi.org/10.1007/978-3-031-56235 ... decision tree evaluation via homomorphic encryption and transciphering.
In this paper, we introduce a comparative study focusing on two common decision tree methods namely: C4.5 and Random forest. The study offers comparative ...
Import libraries did not perform very well, but the prediction paths generated by a Decision Tree can provide functionality comparisons between malware families ...