BinProv: Binary Code Provenance Identification without Disassembly

Research article (Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses, 2022) · cited 16× · AI/ML
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BinProv: Binary Code Provenance Identification without Disassembly

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BinProv: Binary Code Provenance Identification without Disassembly is a scholarly article[1].

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  • BinProv: Binary Code Provenance Identification without Disassembly's instance of is recorded as scholarly article[2].

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). BinProv: Binary Code Provenance Identification without Disassembly. Retrieved May 24, 2026, from https://4ort.xyz/entity/binprov-binary-code-provenance-identification-without-disassembly
MLA “BinProv: Binary Code Provenance Identification without Disassembly.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/binprov-binary-code-provenance-identification-without-disassembly.
BibTeX @misc{4ortxyz_binprov-binary-code-provenance-identification-without-disassembly_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BinProv: Binary Code Provenance Identification without Disassembly}}, year = {2026}, url = {https://4ort.xyz/entity/binprov-binary-code-provenance-identification-without-disassembly}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BinProv: Binary Code Provenance Identification without Disassembly — https://4ort.xyz/entity/binprov-binary-code-provenance-identification-without-disassembly (retrieved 2026-05-24)

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