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Understanding and Mitigating Dimensional Collapse in Federated Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 5, 页码: 2936-2949
作者:  Shi, Yujun;  Liang, Jian;  Zhang, Wenqing;  Xue, Chuhui;  Tan, Vincent Y. F.;  Bai, Song
收藏  |  浏览/下载：0/0  |  提交时间：2024/07/03
Federated learning  representation learning  distribution shift  dimensional collapse  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：132/1  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
Adversarial analysis for source camera identification 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 11, 页码: 4174 - 4186
作者:  Bo Wang;  Mengnan Zhao;  Wei Wang;  Xiaorui Dai;  Yi Li;  Yanqing Guo
Adobe PDF(6167Kb)  |  收藏  |  浏览/下载：157/41  |  提交时间：2023/04/26
Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 1, 页码: 1069-1079
作者:  Wang, Zhaoyang;  Wang, Song;  Zhao, Zhiyao;  Sun, Muyi
收藏  |  浏览/下载：169/0  |  提交时间：2023/03/20
Location awareness  Industrial Internet of Things  Collaboration  Security  Cloud computing  Encryption  Privacy  Collaborative Cloud-Edge-End  expectation maximization (EM)  federated control  industrial Internet of Things (IIoT)  trustworthy localization  
Temporal sparse adversarial attack on sequence-based gait recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 11
作者:  He, Ziwen;  Wang, Wei;  Dong, Jing;  Tan, Tieniu
Adobe PDF(1435Kb)  |  收藏  |  浏览/下载：354/63  |  提交时间：2022/11/21
Adversarial attack  Gait recognition  Temporal sparsity  
Perturbation Inactivation Based Adversarial Defense for Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962
作者:  Ren, Min;  Zhu, Yuhao;  Wang, Yunlong;  Sun, Zhenan
Adobe PDF(5658Kb)  |  收藏  |  浏览/下载：283/55  |  提交时间：2022/11/14
Face recognition  Perturbation methods  Robustness  Immune system  Principal component analysis  Deep learning  Training  Adversarial machine learning  deep learning  graph neural network  face recognition  
Memory-Modulated Transformer Network for Heterogeneous Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2095-2109
作者:  Luo, Mandi;  Wu, Haoxue;  Huang, Huaibo;  He, Weizan;  He, Ran
Adobe PDF(4712Kb)  |  收藏  |  浏览/下载：379/131  |  提交时间：2022/07/25
Face recognition  Task analysis  Transformers  Encoding  Feature extraction  Image recognition  Memory modules  Heterogeneous face recognition  style transformer  memory network  
Are You Confident That You Have Successfully Generated Adversarial Examples? 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 6, 页码: 2089-2099
作者:  Wang, Bo;  Zhao, Mengnan;  Wang, Wei;  Wei, Fei;  Qin, Zhan;  Ren, Kui
Adobe PDF(2235Kb)  |  收藏  |  浏览/下载：367/45  |  提交时间：2021/08/15
Perturbation methods  Iterative methods  Computational modeling  Neural networks  Security  Training  Robustness  Deep neural networks  adversarial examples  structural black box  buffer  
Disentangled Representation Learning of Makeup Portraits in the Wild 期刊论文
International Journal of Computer Vision, 2019, 卷号: -, 期号: -, 页码: -
作者:  Li, Yi;  Huang, Huaibo;  Cao, Jie;  He, Ran;  Tan, Tieniu
浏览  |  Adobe PDF(24456Kb)  |  收藏  |  浏览/下载：301/64  |  提交时间：2020/06/10
Face verification  Makeup transfer  Disentangled feature  Correspondence field  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：443/146  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion