arxiv
PublishedOctober 9, 2026 at 4:00 AM
LTBD: Learnable Trust-Boundary Delimiters for Prompt Injection Defense
Publisher summary· verbatim
arXiv:2610.11634v1 Announce Type: cross Abstract: Large language models (LLMs) perform remarkably well on complex tasks, yet remain highly vulnerable to prompt injection attacks, where malicious instructions embedded in external data can override user intent. Existing defenses remain limited by mode
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Originally published on arxiv ↗