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Feature Manipulation for DDPM based Change Detection
Our method focuses on manipulating the feature map extracted from the Diffusion Model to be more semantically useful, and for this, we propose two methods: Feature Attention and FDAF.
Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection
This study conducts a thorough examination of malware detection using machine learning techniques, focusing on the evaluation of various classification models using the Mal-API-2019 dataset.
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