Rigel Mahmood

On the Robustness of Vision Transformers to Adversarial Examples

Recent advances in attention-based networks have shown that Vision Transformers can achieve state-of-the-art or near state-of-the-art results on many image classification tasks. This puts transformers in the unique position of being a promising alternative to traditional convolutional neural network…