Improving cross-platform binary analysis using representation learning via graph alignment

Research article (Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022) · cited 25× · AI/ML
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Improving cross-platform binary analysis using representation learning via graph alignment

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Improving cross-platform binary analysis using representation learning via graph alignment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving cross-platform binary analysis using representation learning via graph alignment. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-cross-platform-binary-analysis-using-representation-learning-via-graph-alignment
MLA “Improving cross-platform binary analysis using representation learning via graph alignment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-cross-platform-binary-analysis-using-representation-learning-via-graph-alignment.
BibTeX @misc{4ortxyz_improving-cross-platform-binary-analysis-using-representation-learning-via-graph-alignment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving cross-platform binary analysis using representation learning via graph alignment}}, year = {2026}, url = {https://4ort.xyz/entity/improving-cross-platform-binary-analysis-using-representation-learning-via-graph-alignment}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving cross-platform binary analysis using representation learning via graph alignment — https://4ort.xyz/entity/improving-cross-platform-binary-analysis-using-representation-learning-via-graph-alignment (retrieved 2026-05-24)

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