The article presents IoTGeM, a methodology for modelling IoT network attacks, focusing on generalizability and improved detection performance. It introduces an improved rolling window approach for feature extraction and a…
Continue readingThe study investigates the susceptibility of few-shot learning (FSL) to backdoor attacks. Initial evaluation showed that existing backdoor attack methods were ineffective in FSL scenarios due to overfitting and easy…
Continue readingThis research introduces a new framework named PromptSRC, aiming to improve the way prompts are used to fine-tune foundational models like CLIP for various tasks. The new approach aims to…
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