INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/11/2026, 4:00:00 AM · TLP amber
Summary
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Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs arXiv:2605.06669v1 Announce Type: new Abstract: 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…
https://arxiv.org/abs/2605.06669
sha256:6a7ed12e29137cf2648f2e8ce341e6d0b9b8914db9eb529fc53edc9319b15279
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