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CaMeL Security Demonstration - Defending Against (most) Prompt Injections by Design

published on 2025-08-21 22:05:44 UTC by /u/ok_bye_now_
Content:

An interactive application that visualizes and demonstrates Google’s CaMeL (Capabilities for Machine Learning) security approach for defending against prompt injections in LLM agents.

Link to original paper: https://arxiv.org/pdf/2503.18813

All credit to the original researchers

 title={Defeating Prompt Injections by Design}, author={Edoardo Debenedetti and Ilia Shumailov and Tianqi Fan and Jamie Hayes and Nicholas Carlini and Daniel Fabian and Christoph Kern and Chongyang Shi and Andreas Terzis and Florian Tramèr}, year={2025}, eprint={2503.18813}, archivePrefix={arXiv}, primaryClass={cs.CR}, url={https://arxiv.org/abs/2503.18813}, } 
submitted by /u/ok_bye_now_
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Article: CaMeL Security Demonstration - Defending Against (most) Prompt Injections by Design - published 2 months ago.

https://www.reddit.com/r/netsec/comments/1mwor4d/camel_security_demonstration_defending_against/   
Published: 2025 08 21 22:05:44
Received: 2025 08 21 22:20:00
Feed: /r/netsec - Information Security News and Discussion
Source: /r/netsec - Information Security News and Discussion
Category: Cyber Security
Topic: Cyber Security
Views: 11

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