Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware

Research article (Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security, 2022) · cited 14× · AI/ML
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Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware

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Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-spectral-representations-of-control-flow-graphs-for-efficient-analysis-of-windows-malware
MLA “Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-spectral-representations-of-control-flow-graphs-for-efficient-analysis-of-windows-malware.
BibTeX @misc{4ortxyz_leveraging-spectral-representations-of-control-flow-graphs-for-efficient-analysis-of-windows-malware_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-spectral-representations-of-control-flow-graphs-for-efficient-analysis-of-windows-malware}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware — https://4ort.xyz/entity/leveraging-spectral-representations-of-control-flow-graphs-for-efficient-analysis-of-windows-malware (retrieved 2026-05-24)

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