Binary code summarization, while invaluable for understanding code semantics, is challenging due to its labor-intensive nature. This study delves into the potential of large language models (LLMs) for ...
Abstract: In an era where cryptographic devices are widely used, research on Side-Channel Analysis (SCA) has attracted significant attention. While Deep Learning-based SCA (DLSCA) demonstrates notable ...
Abstract: Given the scarcity of Code-Switching (CS) datasets, most researchers synthesize CS speech using multiple monolingual datasets. However, this approach presents challenges in synthesizing CS ...
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