Abstract: Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially prominent ...

Abstract: Understanding the vulnerabilities of vehicular networks from an attacker's perspective is crucial for identifying stealthy false data injection (FDI) attacks and developing robust defense ...

Adding context to data has been a goal for enterprise communications – especially in the customer experience – for over a decade. Data without context is fragmented, which means it cannot be used to ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately ...