2 papers
cs.CR2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
Thomas Paniagua, Ryan Grainger, Tianfu Wu
The adversarial vulnerability of Deep Neural Networks (DNNs) has been well-known and widely concerned, often under the context of learning top- attacks (e.g., fooling a DNN to c…
cs.CV2022
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
Ryan Grainger, Thomas Paniagua, Xi Song +3
Vision Transformers (ViTs) are built on the assumption of treating image patches as ``visual tokens" and learn patch-to-patch attention. The patch embedding based tokenizer has a s…