中国科学院计算技术研究所机构知识库

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	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：1/0  |  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
	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：2/0  |  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：12/0  |  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
	Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文 IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140 作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：17/0  |  提交时间：2023/12/04 Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead
	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：14/0  |  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
	All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 7, 页码: 3174-3184 作者:  Xu, Zhe;  Wang, Yixin;  Lu, Donghuan;  Yu, Lequan;  Yan, Jiangpeng;  Luo, Jie;  Ma, Kai;  Zheng, Yefeng;  Tong, Raymond Kai-yu 收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07 Image segmentation  Prototypes  Biomedical imaging  Perturbation methods  Reliability  Feature extraction  Training  Medical image segmentation  prototype learning  semi-supervised learning
	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：23/0  |  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
	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liang, Ling;  Hu, Xing;  Deng, Lei;  Wu, Yujie;  Li, Guoqi;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21 Spatiotemporal phenomena  Computational modeling  Perturbation methods  Biological neural networks  Backpropagation  Unsupervised learning  Training  Adversarial attack  backpropagation through time (BPTT)  neuromorphic computing  spike-compatible gradient  spiking neural networks (SNNs)
	FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4791-4804 作者:  Lan, Yazhu;  Nixon, Kent W.;  Guo, Qingli;  Zhang, Guohe;  Xu, Yuanchao;  Li, Hai;  Chen, Yiran 收藏  |  浏览/下载：49/0  |  提交时间：2021/12/01 Perturbation methods  Computational modeling  Data integrity  Detectors  Optimization  Field programmable gate arrays  Hardware  Adversarial attacks  confidence detection  deep neural networks (DNNs)  FPGA-based hardware architecture  sensor pattern noise (SPN)