中国科学院计算技术研究所机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Enhancing the Robustness of Vision-Language Foundation Models by Alignment Perturbation 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 7091-7105 作者:  Zhang, Cong;  Wang, Shuhui;  Li, Xiaodan;  Zhu, Yao;  Qi, Honggang;  Huang, Qingming 收藏  |  浏览/下载：44/0  |  提交时间：2025/12/03 Multimedia forensics  adversarial perturbation  robust training  robust training  vision-language models  vision-language models  vision-language models
	Boosting Dataset Distillation With the Assistance of Crucial Samples for Visual Learning 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 卷号: 27, 页码: 9873-9886 作者:  Li, Xiaodan;  Zhu, Yao;  Chen, Yuefeng;  Chen, Cen;  Guo, Jianmei;  Wang, Shuhui 收藏  |  浏览/下载：20/0  |  提交时间：2026/05/25 Training  Semantics  Computational modeling  Visualization  Synthetic data  Manifolds  Computational efficiency  Training data  Data models  Continuing education  Dataset distillation (DD)  discarding  semantic  infinite  interpolated
	MaxMatch: Semi-Supervised Learning With Worst-Case Consistency 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 5, 页码: 5970-5987 作者:  Jiang, Yangbangyan;  Li, Xiaodan;  Chen, Yuefeng;  He, Yuan;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：82/0  |  提交时间：2023/12/04 Predictive models  Training  Data models  Semantics  Perturbation methods  Computational modeling  Benchmark testing  Semi-supervised learning  consistency regularization  worst-case consistency  image classification
	Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501 作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming 收藏  |  浏览/下载：118/0  |  提交时间：2023/07/12 Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack