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Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 456-471
作者:  Kai-Yuan Liu;  Xing-Yu Li;  Yu-Rui Lai;  Hang Su;  Jia-Chen Wang;  Chun-Xu Guo;  Hong Xie;  Ji-Song Guan;  Yi Zhou
Adobe PDF(3203Kb)  |  收藏  |  浏览/下载：16/3  |  提交时间：2024/04/23
Brain-inspired learning  autoencoder  robustness  adversarial attack  generative model  
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：108/0  |  提交时间：2023/11/17
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：68/0  |  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)  
Adversarial training with distribution normalization and margin balance 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 136, 页码: 11
作者:  Cheng, Zhen;  Zhu, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
收藏  |  浏览/下载：248/0  |  提交时间：2023/01/09
Adversarial robustness  Adversarial training  Distribution normalization  Margin balance  
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1054Kb)  |  收藏  |  浏览/下载：235/27  |  提交时间：2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
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;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：199/0  |  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  
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：260/50  |  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  
Robust Cross-lingual Task-oriented Dialogue 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2021, 卷号: 20, 期号: 6, 页码: 24
作者:  Xiang, Lu;  Zhu, Junnan;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(1935Kb)  |  收藏  |  浏览/下载：274/60  |  提交时间：2021/12/28
Cross-lingual  dialogue system  adversarial learning  knowledge  robustness  
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：338/39  |  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  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：214/61  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.