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So Many AI Security Benchmarks, But None Tell the Whole Story
Teaser from the source
Measuring AI model security gets complex, fast, thanks to a growing patchwork of benchmarks targeting different variables in the equation. But none replace testing against your own code and workflows.
This is the RSS-feed teaser. Read the full article at the original source.
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Other advisories
- Not ratedosv:CVE-2026-29075Mesa: Checking out of untrusted code in `benchmarks.yml` workflow may lead to code execution in privileged runner
- Not ratedosv:MAL-2025-1146Malicious code in lighthousebenchmarks (npm)
- Not ratedosv:MAL-2024-1051Malicious code in build-benchmarks (npm)
- Not ratedosv:MAL-2023-8453Malicious code in classnames-benchmarks (npm)
- Not ratedosv:MAL-2022-4485Malicious code in marketplace-benchmarks (npm)
- Not ratedosv:MAL-2022-5278Malicious code in perf-benchmarks-components (npm)
- Not ratedosv:MAL-2022-1865Malicious code in cfbenchmarks-adapter (npm)
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