Characterizing and Understanding Defense Methods for GNNs on GPUs
文献类型:期刊论文
作者 | Wu, Meng1,2; Yan, Mingyu2; Yang, Xiaocheng2; Li, Wenming2; Zhang, Zhimin2; Ye, Xiaochun2; Fan, Dongrui1,2 |
刊名 | IEEE COMPUTER ARCHITECTURE LETTERS
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出版日期 | 2023-07-01 |
卷号 | 22期号:2页码:137-140 |
关键词 | Kernel Purification Estimation Graphics processing units Perturbation methods Electric breakdown Training Graph neural networks defense execution semantic execution pattern overhead |
ISSN号 | 1556-6056 |
DOI | 10.1109/LCA.2023.3304638 |
英文摘要 | Graph neural networks (GNNs) are widely deployed in many vital fields, but suffer from adversarial attacks, which seriously compromise the security in these fields. Plenty of defense methods have been proposed to mitigate the impact of these attacks, however, they have introduced extra time-consuming stages into the execution of GNNs. These extra stages need to be accelerated because the end-to-end acceleration is essential for GNNs to achieve fast development and deployment. To disclose the performance bottlenecks, execution patterns, execution semantics, and overheads of the defense methods for GNNs, we characterize and explore these extra stages on GPUs. Given the characterization and exploration, we provide several useful guidelines for both software and hardware optimizations to accelerate the defense methods for GNNs. |
资助项目 | National Key Research and Development Program[2022YFB4501404] ; National Natural Science Foundation of China[62202451] ; CAS Project for Young Scientists in Basic Research[YSBR-029] ; CAS Project for Youth Innovation Promotion Association |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:001082420100001 |
出版者 | IEEE COMPUTER SOC |
源URL | [http://119.78.100.204/handle/2XEOYT63/21117] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Yan, Mingyu |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, SKLP, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Meng,Yan, Mingyu,Yang, Xiaocheng,et al. Characterizing and Understanding Defense Methods for GNNs on GPUs[J]. IEEE COMPUTER ARCHITECTURE LETTERS,2023,22(2):137-140. |
APA | Wu, Meng.,Yan, Mingyu.,Yang, Xiaocheng.,Li, Wenming.,Zhang, Zhimin.,...&Fan, Dongrui.(2023).Characterizing and Understanding Defense Methods for GNNs on GPUs.IEEE COMPUTER ARCHITECTURE LETTERS,22(2),137-140. |
MLA | Wu, Meng,et al."Characterizing and Understanding Defense Methods for GNNs on GPUs".IEEE COMPUTER ARCHITECTURE LETTERS 22.2(2023):137-140. |
入库方式: OAI收割
来源:计算技术研究所
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