Oct 27, 2024
Towards a Unified Framework for Cybersecurity and AI Safety: Recommendations for Secure Development of Large Language Models
Lexley Maree Villasis, Srishti Dutta, Yohan Mathew
Summary
By analyzing the recent incident involving a ByteDance intern, we highlight the urgent need for robust security measures to protect AI infrastructure and sensitive data. We propose ae a comprehensive framework that integrates technical, internal, and international approaches to mitigate risks.
Cite this work:
@misc {
title={
Towards a Unified Framework for Cybersecurity and AI Safety: Recommendations for Secure Development of Large Language Models
},
author={
Lexley Maree Villasis, Srishti Dutta, Yohan Mathew
},
date={
10/27/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}