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Reproducible educational LLM guardrails benchmark and evaluation protocol

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A controlled holdout benchmark of 480 synthetic queries (369 injection, 111 benign) covering six attack families, with stratified bootstrap confidence intervals, paired McNemar tests, and multi-seed sensitivity sweeps, plus unified head-to-head adapter measurements. The article provides "a reproducible controlled protocol (480 queries) with confusion matrix reporting, latency decomposition, statistical uncertainty quantification" and releases a complete reproducibility package (Docker, dataset, scripts) in a public GitHub repository for independent verification.

Accounts

  • Reproducible educational LLM guardrails benchmark and evaluation protocol: A controlled holdout benchmark of 480 synthetic queries (369 injection, 111 benign) covering six attack families, with stratified bootstrap confidence intervals, paired McNemar tests, and multi-seed sensitivity sweeps, plus unified head-to-head adapter measurements. The article provides "a reproducible controlled protocol (480 queries) with confusion matrix reporting, latency decomposition, statistical uncertainty quantification" and releases a complete reproducibility package (Docker, dataset, scripts) in a public GitHub repository for independent verification. (Alexandre Cristovão Maiorano (2026))

Claims

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Key Sources

  • Alexandre Cristovão Maiorano. (2026). Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs. https://arxiv.org/abs/2605.06669
Page metadata
Field Value
type research-method
id reproducible-educational-llm-guardrails-benchmark-and-evaluation-protocol
title Reproducible educational LLM guardrails benchmark and evaluation protocol
description A controlled holdout benchmark of 480 synthetic queries (369 injection, 111 benign) covering six attack families, with stratified bootstrap confidence intervals, paired McNemar tests, and multi-seed sensitivity sweeps, plus unified head-to-head adapter measurements.
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content

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