3 accepted papers
X-ray contraband detection is critical for public safety. However, current methods primarily rely on bounding box annotations, which limit model generalization and performance due to the lack of pixel-level supervision and real-world data. To address these limitations, we introduce XSeg. To the best
In various security inspection scenarios, prohibited items detection in X-ray images is of great significance for safeguarding public safety and effectively reducing the potential risks of crimes and terrorist activities. However, existing detection methods still face the challenge of overlapping im…
Cybersecurity and software research have crossed paths with modern deep learning research for a few years. The power of large language models (LLMs) in particular has intrigued us to apply them to understanding binary code. In this paper, we investigate some of the many ways LLMs can be applied to b…