AI ethics evidence index Search
Source-linked daily record
Evidence record 6613 · automatically gathered

Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs

Educational LLM tutors face a core AI alignment challenge: they must follow user intent while preserving pedagogical constraints and safety policies. We present an evaluation methodology for prompt-injection defenses in this setting, showing that guardrail design entails explicit trade-offs among adversarial robustness, benign-task usability, and response latency. We evaluate a domain-specific multi-layer safeguard pipeline combining deterministic pattern filters, structural validation, contextu

Record details

Published: 29 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline

Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications

arXiv · 13 March 2026

Same publisher byline

Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing

arXiv · 1 June 2026

Shared topic: Safety & alignment

A Revealed Preference Framework for AI Alignment

arXiv · 29 March 2026

Shared topic: Safety & alignment

LVRPO: Language-Visual Alignment with GRPO for Multimodal Understanding and Generation

arXiv · 29 March 2026

Shared topic: Safety & alignment

Beyond Dataset Distillation: Lossless Dataset Concentration via Diffusion-Assisted Distribution Alignment

arXiv · 30 March 2026

Shared topic: Safety & alignment

Reward Hacking as Equilibrium under Finite Evaluation

arXiv · 30 March 2026

How to cite this record

ethics.ai (29 March 2026), “Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs,” evidence record 6613, https://ethics.ai/record/6613 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.