Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Recurso digital |
| Jazyk: | angličtina |
| Vydáno: |
Zenodo
2025
|
| Témata: | |
| On-line přístup: | https://doi.org/10.5281/zenodo.17542016 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
Obsah:
- <p>Prompt injection attacks remain a persistent security challenge in AI systems, with traditional technical defenses often bypassed through social engineering and template distribution. This paper proposes a novel defense strategy that shifts the battleground from technical barriers to user behavior modification through UI design. Drawing parallels to traffic safety education, we present a graduated response system that treats template-based prompts as "unlicensed operation" and provides mandatory educational interventions before system compromise occurs. The proposed solution is cost-effective, platform-agnostic, and intentionally patent-free to encourage widespread adoption.<br><br>Co-written by Viorazu. and Claude ( Sonnet 4.5, Anthropic)<br>共著:Viorazu. & Claude( Sonnet 4.5、Anthropic)</p>