Impersonation for LLM Security: A 4-Axis Metric, a Pilot, and an Honest Postmortem
This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.
TL;DR While validating an LLM security dataset with a 3-judge LLM-as-judge pipeline, one threat category — impersonation — hit 98.2% inter-judge disagreement (3/166 examples with unanimous-enough agreement), far above every other category. Instead of treating this as annotation noise, I built a sma…
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- 2026-09-04 14:46 · DEV Community — Machine Learning
Impersonation for LLM Security: A 4-Axis Metric, a Pilot, and an Honest Postmortem