LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order

Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie +1

Due to their architecture and how they are trained, artificial neural networks are typically not robust toward pruning or shuffling layers at test time. However, such properties wo…