3 citations · 3 across the 4 of their papers we have counts for
4 papers
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Jie Bao, Chuangyin Dang, Rui Luo +2
As deep learning models are increasingly deployed in high-risk applications, robust defenses against adversarial attacks and reliable performance guarantees become paramount. Moreo…
Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps
Felix Kares, Timo Speith, Hanwei Zhang +1
The evaluation of explainable AI (XAI) approaches often relies on three families of methods: subjective measures (e.g., questionnaires on trust or satisfaction), objective measures…
IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields
Wenxiang Jiang, Hanwei Zhang, Shuo Zhao +2
Neural Radiance Field (NeRF) represents a significant advancement in computer vision, offering implicit neural network-based scene representation and novel view synthesis capabilit…
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Xiangli Yang, Xijie Deng, Hanwei Zhang +2
Structural health monitoring (SHM) is critical to safeguarding the safety and reliability of aerospace, civil, and mechanical infrastructure. Machine learning-based data-driven app…