Abstract: This paper proposes a novel approach to adversarial attacks against machine learning-based network intrusion detection systems (NIDS). Unlike conventional methods that apply feature-space ...
Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
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