UI-Based Defense Against Prompt Injection: From Gentle Guidance to Mandatory Re-education
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2025
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| _version_ | 1866902267662172160 |
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| author | Viorazu. |
| author_facet | Viorazu. |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17542016 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | UI-Based Defense Against Prompt Injection: From Gentle Guidance to Mandatory Re-education Viorazu. prompt injection UI security user education behavioral design AI safety <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> |
| title | UI-Based Defense Against Prompt Injection: From Gentle Guidance to Mandatory Re-education |
| topic | prompt injection UI security user education behavioral design AI safety |
| url | https://doi.org/10.5281/zenodo.17542016 |