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清华大学 [15]

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	Adversarial Heterogeneous Graph Neural Network for Robust Recommendation 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 12 作者: Sang, Lei; Xu, Min; Qian, Shengsheng; Wu, Xindong 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/22 Perturbation methods Motion pictures Training Graph neural networks Robustness Semantics Predictive models Adversarial training (AT) graph neural network (GNN) heterogeneous graph recommendation
	Robust Monitor for Industrial IoT Condition Prediction 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者: Zhang, Xingwei; Tian, Hu; Zheng, Xiaolong; Zeng, Daniel Dajun 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/17 Perturbation methods Monitoring Industrial Internet of Things Training Predictive models Robustness Temperature sensors Adversarial perturbation adversarial training Industrial Internet of Things (IIoT) machine learning (ML) temporal convolutional network (TCN)
	Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11 作者: Zhang, Xingwei; Zheng, Xiaolong; Mao, Wenji; Zeng, Daniel Dajun; Wang, Fei-Yue 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/11/14 Perturbation methods Semantics Computational modeling Codes Task analysis Privacy Software Adversarial perturbation deep neural network (DNN) privacy protection semantic retrieval
	Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13 作者: Zhang, Xingwei; Zheng, Xiaolong; Liu, Bin; Wang, Xiao; Mao, Wenji 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/11/14 Training Task analysis Semantics Perturbation methods Feature extraction Computational modeling Robustness Adversarial perturbation adversarially robust training deep hashing multimodal retrieval
	Adversarial Information Bottleneck 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10 作者: Zhai, Penglong; Zhang, Shihua 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/02/07 Robustness Optimization Mutual information Deep learning Perturbation methods Training Task analysis Adversarial robustness deep learning hyperparameter selection information bottleneck (IB)
	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 收藏 \| 浏览/下载：7/0 \| 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
	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: Wang, Bo; Zhao, Mengnan; Wang, Wei; Dai, Xiaorui; Li, Yi 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/12/28 Cameras Feature extraction Forensics Task analysis Perturbation methods Neural networks Training Adversarial attacks fingerprint copy-move attack joint feature-based auto-learning attack relation mismatch
	Broad Learning System Based on Maximum Correntropy Criterion 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097 作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun 收藏 \| 浏览/下载：68/0 \| 提交时间：2021/08/15 Learning systems Robustness Standards Optimization Training Perturbation methods Mean square error methods Broad learning system (BLS) incremental learning algorithms maximum correntropy criterion (MCC) regression and classification
	Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2858-2869 作者: Zhao, Bo; Liu, Derong; Alippi, Cesare 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/08/15 Optimal control Perturbation methods Nonlinear systems Uncertainty Cost function Stability analysis Adaptive systems Adaptive critic designs adaptive dynamic programming (ADP) optimal control sliding mode surface (SMS) unknown mismatched perturbations
	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 收藏 \| 浏览/下载：69/0 \| 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

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