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[2304.05402] Boosting Cross-task Transferability of Adversarial …

WebIn this paper, we propose a black-box attack method against machine-learning-based anomaly network flow detection algorithms. Our attack strategy consists in training … WebMay 5, 2024 · Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who … philadelphia flyers clothing

A Brute-Force Black-Box Method to Attack Machine Learning …

WebMar 29, 2024 · The decision-making process of a machine-learning model is often referred to as a black box — researchers and users typically know the inputs and outputs, but it … WebOct 28, 2024 · Algorithm of black-box testing. In general, the procedure of black-box testing includes the following steps: Examination of initial software requirements and … WebThe gray-box models include a combination of the physical and black-box models. A total of five feature sets and eight different machine learning methods are tested. An analysis of the accuracy, training time and test time of the models is performed using the K-means clustering algorithm. philadelphia flyers coach search