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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：204/0  |  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;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：170/0  |  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