中国科学院机构知识库网格系统: 检索

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	Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：6/0 \| 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
	Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13 作者: Zhang, Xingwei; Zheng, Xiaolong; Liu, Bin; Wang, Xiao; Mao, Wenji \| 收藏 \| 浏览/下载：37/0 \| 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 OAI收割 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 \| 收藏 \| 浏览/下载：14/0 \| 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
	Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：7/0 \| 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
	Adversarial Perturbation Defense on Deep Neural Networks 期刊论文 OAI收割 ACM COMPUTING SURVEYS, 2021, 卷号: 54, 期号: 8, 页码: 36 作者: Zhang, Xingwei; Zheng, Xiaolong; Mao, Wenji \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/12/28 Adversarial perturbation defense deep neural networks security origin
	Are You Confident That You Have Successfully Generated Adversarial Examples? 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：24/0 \| 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
	FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：60/0 \| 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)
	Efficient Joint Gradient Based Atack Against SOR Defense for 3D Point Cloud Classification 会议论文 OAI收割 Virtual, October 12–16, 2020 作者: Chengcheng Ma; Weiliang Meng; Baoyuan Wu; Shibiao Xu; Xiaopeng Zhang \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/04/02
	INOR-An Intelligent noise reduction method to defend against adversarial audio examples 期刊论文 OAI收割 NEUROCOMPUTING, 2020, 卷号: 401, 页码: 160-172 作者: Guo, Qingli; Ye, Jing; Chen, Yiran; Hu, Yu; Lan, Yazhu \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/12/10 Adversarial audio examples Defense against adversarial audio examples INOR