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Mengting Xu
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Towards evaluating the robustness of deep diagnostic models by adversarial attack
M Xu, T Zhang, Z Li, M Liu, D Zhang
Medical Image Analysis 69, 101977, 2021
582021
Medrdf: a robust and retrain-less diagnostic framework for medical pretrained models against adversarial attack
M Xu, T Zhang, D Zhang
IEEE Transactions on Medical Imaging 41 (8), 2130-2143, 2022
262022
Infoat: Improving adversarial training using the information bottleneck principle
M Xu, T Zhang, Z Li, D Zhang
IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1255-1264, 2022
182022
Complementary Labels Learning with Augmented Classes
Z Li, M Xu, X Xu, D Zhang
Knowledge-Based Systems 290, 111570, 2024
12024
Region-Based Dense Adversarial Generation for Medical Image Segmentation
A Shen, L Sun, M Xu, D Zhang
CAAI International Conference on Artificial Intelligence, 107-118, 2022
12022
Scale-invariant adversarial attack for evaluating and enhancing adversarial defenses
M Xu, T Zhang, Z Li, D Zhang
arXiv preprint arXiv:2201.12527, 2022
12022
A Consistency Regularization for Certified Robust Neural Networks
M Xu, T Zhang, Z Li, D Zhang
CAAI International Conference on Artificial Intelligence, 27-38, 2021
12021
Improving the Certified Robustness of Neural Networks via Consistency Regularization
M Xu, T Zhang, Z Li, D Zhang
arXiv preprint arXiv:2012.13103, 2020
2020
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
M Xu, D Ma, H Tang, Q Zheng, G Pan
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
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