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A prompt-based approach to adversarial example generation and robustness enhancement 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 4, 页码: 12
作者:  Yang, Yuting;  Huang, Pei;  Cao, Juan;  Li, Jintao;  Lin, Yun;  Ma, Feifei
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
robustness  adversarial example  prompt learning  pre-trained language model  
Graph Adversarial Immunization for Certifiable Robustness 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 4, 页码: 1597-1610
作者:  Tao, Shuchang;  Cao, Qi;  Shen, Huawei;  Wu, Yunfan;  Hou, Liang;  Cheng, Xueqi
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Adversarial attack  adversarial immunization  certifiable robustness  graph neural networks  node classification  
Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising 期刊论文
ULTRAMICROSCOPY, 2024, 卷号: 255, 页码: 11
作者:  Yang, Zhidong;  Zang, Dawei;  Li, Hongjia;  Zhang, Zhao;  Zhang, Fa;  Han, Renmin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Electron tomography  Image denoising  Self-supervised learning  
Multi-scale conditional reconstruction generative adversarial network 期刊论文
IMAGE AND VISION COMPUTING, 2024, 卷号: 141, 页码: 9
作者:  Chen, Yanming;  Xu, Jiahao;  An, Zhulin;  Zhuang, Fuzhen
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Generative adversarial network  Unsupervised generation  Multi-scale instance  Reconstructed losses  
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning  
General Greedy De-Bias Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9789-9805
作者:  Han, Xinzhe;  Wang, Shuhui;  Su, Chi;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Task analysis  Correlation  Training  Data models  Question answering (information retrieval)  Visualization  Image classification  Curriculum learning  dataset biases  greedy strategy  robust learning  
Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140
作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead  
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685
作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning  
Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 214, 页码: 9
作者:  Zhao, Chenji;  Xiang, Shun;  Wang, Yuanquan;  Cai, Zhaoxi;  Shen, Jun;  Zhou, Shoujun;  Zhao, Di;  Su, Weihua;  Guo, Shijie;  Li, Shuo
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
3D MRI  Contextual information  Image segmentation  Semi -supervised learning  Transformers  
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 3, 页码: 633-646
作者:  Zhao, Ziyuan;  Zhou, Fangcheng;  Xu, Kaixin;  Zeng, Zeng;  Guan, Cuntai;  Zhou, S. Kevin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Image segmentation  Adaptation models  Biomedical imaging  Annotations  Adversarial machine learning  Magnetic resonance imaging  Training  Unsupervised domain adaptation  medical image segmentation  cross-modality learning  semi-supervised learning  adversarial learning