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Found 2 papers, 1 papers with code
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
This constant evolution of malware samples causes changes to the data distribution (i. e., concept drifts) that directly affect ML model detection rates, something not considered in the majority of the literature work.
Machine Learning (In) Security: A Stream of Problems
Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-the-art for solving many of the open issues in that field.
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