Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

Hardening Memory-Safe Languages: An Empirical Study of Attack Mitigations in Rust and Go Binaries

Published
Record updated

Summary

Yuan, Chen, Zhao and Zhang published an empirical study in Computers & Security, available online 14 May 2026, examining attack mitigations in compiled Rust and Go binaries. The source text provided here contains only the publication metadata and author list, so the research question, method and findings cannot be stated from it.