Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data Authors: Gayan K. Kulatilleke, Sugandika Samarakoon | Published: 2022-08-25 Fraudulent TransactionAnalysis of Detection MethodsMachine Learning 2022.08.25 2025.05.28 Literature Database
Applying Machine Learning on RSRP-based Features for False Base Station Detection Authors: Prajwol Kumar Nakarmi, Jakob Sternby, Ikram Ullah | Published: 2022-07-22 Model Performance EvaluationAnalysis of Detection MethodsCommunication Analysis 2022.07.22 2025.05.28 Literature Database
Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap Authors: Nicolas Tempelmeier, Elena Demidova | Published: 2022-03-21 Training Data GenerationAnalysis of Detection MethodsMachine Learning 2022.03.21 2025.05.28 Literature Database
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Authors: Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama | Published: 2020-10-22 | Updated: 2021-07-11 Vulnerability of Adversarial ExamplesAnalysis of Detection MethodsStatistical Methods 2020.10.22 2025.05.28 Literature Database
A Review of Computer Vision Methods in Network Security Authors: Jiawei Zhao, Rahat Masood, Suranga Seneviratne | Published: 2020-05-07 Malware ClassificationAnalysis of Detection MethodsFeature Extraction Method 2020.05.07 2025.05.28 Literature Database
Survey of Machine Learning Techniques for Malware Analysis Authors: Daniele Ucci, Leonardo Aniello, Roberto Baldoni | Published: 2017-10-23 | Updated: 2018-11-26 Malware Detection MethodDynamic AnalysisAnalysis of Detection Methods 2017.10.23 2025.05.28 Literature Database