Convolutional Neural Networks (CNNs)

Vision Transformers (ViTs) treat images as sequences of patches, using self-attention to capture global context, unlike Convolutional Neural Networks (CNNs) that focus on local features. Introduced in…

Researchers propose CausAdv, a causal framework for detecting adversarial examples in convolutional neural networks (CNNs) by learning causal and non-causal features and quantifying counterfactual inf…