How deep learning sees the world: A survey on adversarial attacks & defenses

JC Costa, T Roxo, H Proença, PRM Inácio - IEEE Access, 2024 - ieeexplore.ieee.org
Deep Learning is currently used to perform multiple tasks, such as object recognition, face
recognition, and natural language processing. However, Deep Neural Networks (DNNs) are …

Cross-entropy loss functions: Theoretical analysis and applications

A Mao, M Mohri, Y Zhong - International conference on …, 2023 - proceedings.mlr.press
Cross-entropy is a widely used loss function in applications. It coincides with the logistic loss
applied to the outputs of a neural network, when the softmax is used. But, what guarantees …

Better diffusion models further improve adversarial training

Z Wang, T Pang, C Du, M Lin… - … on machine learning, 2023 - proceedings.mlr.press
It has been recognized that the data generated by the denoising diffusion probabilistic
model (DDPM) improves adversarial training. After two years of rapid development in …