Inherent Vulnerabilities of Vision Transformers for Medical Image Classification
Explored vulnerabilities in vision transformers for medical image classification, demonstrating that minor modifications can significantly alter representations, and developed an efficient detection method to enhance model reliability.
Mar 2, 2024
