1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Anomaly Detection Based on Critical Paths for Deep Neural Networks
Fangzhen Zhao, Chenyi Zhang, Naipeng Dong +2
Deep neural networks (DNNs) are notoriously hard to understand and difficult to defend. Extracting representative paths (including the neuron activation values and the connections…
cs.LG2022
A Mask-Based Adversarial Defense Scheme
Weizhen Xu, Chenyi Zhang, Fangzhen Zhao +1
Adversarial attacks hamper the functionality and accuracy of Deep Neural Networks (DNNs) by meddling with subtle perturbations to their inputs.In this work, we propose a new Mask-b…
cs.LG2021★ 1 cited
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Fangzhen Zhao, Chenyi Zhang, Naipeng Dong +2
Deep neural networks (DNN) can achieve high performance when applied to In-Distribution (ID) data which come from the same distribution as the training set. When presented with ano…