中国科学院计算技术研究所机构知识库

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	AUCPro: AUC-Oriented Provable Robustness Learning 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 6, 页码: 4579-4596 作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：5/0  |  提交时间：2025/12/03 Robustness  Training  Perturbation methods  Machine learning  Heavily-tailed distribution  Smoothing methods  Gaussian noise  Data mining  Standards  Protocols  AUC-oriented learning  adversarial robustness  machine learning
	FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2025, 卷号: 34, 页码: 4580-4590 作者:  Yuan, Zheng;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Training  Computational modeling  Robustness  Adaptation models  Computer vision  Transformers  Visualization  Natural language processing  Image classification  Head  Adversarial training  parameter-efficient  pretrained model
	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：4/0  |  提交时间：2025/12/03 Multimedia forensics  adversarial perturbation  robust training  robust training  vision-language models  vision-language models  vision-language models
	A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 23 作者:  Liu, Chang;  Dong, Yinpeng;  Xiang, Wenzhao;  Yang, Xiao;  Su, Hang;  Zhu, Jun;  Chen, Yuefeng;  He, Yuan;  Xue, Hui;  Zheng, Shibao 收藏  |  浏览/下载：37/0  |  提交时间：2024/12/06 Robustness benchmark  Distribution shift  Pre-training  Adversarial training  Image classification
	Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12 作者:  Li, Liang;  Lu, Tongyu;  Sun, Yaoqi;  Gao, Yuhan;  Yan, Chenggang;  Hu, Zhenghui;  Huang, Qingming 收藏  |  浏览/下载：46/0  |  提交时间：2024/12/06 Uncertainty  Feature extraction  Semantics  Task analysis  Training  Adversarial machine learning  Symbols  Domain shifting  progressive decision boundary  self-learning  unsupervised domain adaptation (UDA)
	Adaptive Perturbation for Adversarial Attack 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 8, 页码: 5663-5676 作者:  Yuan, Zheng;  Zhang, Jie;  Jiang, Zhaoyan;  Li, Liangliang;  Shan, Shiguang 收藏  |  浏览/下载：38/0  |  提交时间：2024/12/06 Perturbation methods  Iterative methods  Adaptation models  Generators  Closed box  Security  Training  Adversarial attack  transfer-based attack  adversarial example  adaptive perturbation
	Research on Aspect-Level Sentiment Analysis Based on Adversarial Training and Dependency Parsing 期刊论文 ELECTRONICS, 2024, 卷号: 13, 期号: 10, 页码: 16 作者:  Xu, Erfeng;  Zhu, Junwu;  Zhang, Luchen;  Wang, Yi;  Lin, Wei 收藏  |  浏览/下载：38/0  |  提交时间：2024/12/06 multi head attention mechanism  dependency syntactic relationships  adjacency matrix  adversarial training
	Identity-Preserving Adversarial Training for Robust Network Embedding 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2024, 卷号: 39, 期号: 1, 页码: 177-191 作者:  Cen, Ke-Ting;  Shen, Hua-Wei;  Cao, Qi;  Xu, Bing-Bing;  Cheng, Xue-Qi 收藏  |  浏览/下载：26/0  |  提交时间：2024/12/06 network embedding  identity-preserving  adversarial training  adversarial the example
	GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks 期刊论文 IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 卷号: 70, 期号: 1, 页码: 2038-2048 作者:  Fan, Xinxin;  Li, Mengfan;  Zhou, Jia;  Jing, Quanliang;  Lin, Chi;  Lu, Yunfeng;  Bi, Jingping 收藏  |  浏览/下载：42/0  |  提交时间：2024/12/06 Closed box  Perturbation methods  Predictive models  Indexes  Training  Glass box  Optimization  Deep learning  adversarial examples  black-box adversarial attack  transferability
	Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511 作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：48/0  |  提交时间：2024/05/20 Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning