2025
MalImgDA: Diffusion-based Data Augmentation for Long-tailed Malware Family Classification
ICASSP 2025accepted
With the rapid improvement of machine learning technology, leveraging machine learning methods for malware classification has emerged as a viable approach. However, under real-world circumstance, the imbalanced or long-tailed distribution among various malware families, poses a critical challenge to…