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

Details

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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}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.