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paperDecember 2023ReviewedOpen access

Identifying and Mitigating the Security Risks of Generative AI

Clark Barrett, Brad Boyd, Elie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

Foundations and Trends in Privacy and Security

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Abstract

Comprehensive treatment of generative AI security risks across the ML lifecycle with a focus on practical mitigations and deployment considerations.

Categories

SurveysThreat ModelingRisk Frameworks
#comprehensive#lifecycle#practical-mitigations

Framework mappings

NIST AI Risk Management Framework
  • GOVERNGovern
  • MAPMap
  • MEASUREMeasure
  • MANAGEManage

Cite

@article{barrett2023identifying,
  title = {{Identifying and Mitigating the Security Risks of Generative AI}},
  author = {Clark Barrett and Brad Boyd and Elie Burzstein and Nicholas Carlini and Brad Chen and Jihye Choi and Amrita Roy Chowdhury and Mihai Christodorescu and Anupam Datta and Soheil Feizi and Kathleen Fisher and Tatsunori Hashimoto and Dan Hendrycks and Somesh Jha and Daniel Kang and Florian Kerschbaum and Eric Mitchell and John Mitchell and Zulfikar Ramzan and Khawaja Shams and Dawn Song and Ankur Taly and Diyi Yang},
  year = {2023},
  month = dec,
  journal = {Foundations and Trends in Privacy and Security},
  eprint = {2308.14840},
  archivePrefix = {arXiv},
  doi = {10.1561/3300000041},
  url = {https://arxiv.org/abs/2308.14840}
}