Combating mode collapse via offline manifold entropy estimation

H Liu, B Li, H Wu, H Liang, Y Huang, Y Li… - Proceedings of the …, 2023 - ojs.aaai.org
Abstract Generative Adversarial Networks (GANs) have shown compelling results in various
tasks and applications in recent years. However, mode collapse remains a critical problem …

Robust representation via dynamic feature aggregation

H Liu, H Ji, Y Li, N He, H Wu, F Liu, L Shen… - arXiv preprint arXiv …, 2022 - arxiv.org
Deep convolutional neural network (CNN) based models are vulnerable to the adversarial
attacks. One of the possible reasons is that the embedding space of CNN based model is …

Taming self-supervised learning for presentation attack detection: De-folding and de-mixing

Z Kong, W Zhang, F Liu, W Luo, H Liu… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Biometric systems are vulnerable to presentation attacks (PAs) performed using various PA
instruments (PAIs). Even though there are numerous PA detection (PAD) techniques based …