Zhi-Siang Lim

A Performance Comparison of Convolutional Neural Networks and Vision Transformers for Malware Detection

The detection of malware is a great challenge in cybersecurity because the threat environment keeps on changing. Convolutional Neural Networks (CNNs) are frequently applied to conduct image-based malware detection. On the other hand, Vision Transformers (ViTs) that leverage self-attention mechanisms have emerged as a n...