Keystone AI’s Post

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With collaborators from the University of Virginia and the University of Washington, Keystone affiliate expert and UVA professor David Evans published important findings on AI security earlier this year. The research, presented at the Conference for Language Modeling in October, examines whether common methods for testing data privacy in large language models work as intended. The team found that standard privacy testing approaches may be less reliable than previously thought, with implications for how we evaluate and secure AI systems. This work offers crucial insights for organizations developing and deploying large language models. Read Eric Williamson, M.A.'s article for UVA Engineering and find a link to the full paper here: https://bit.ly/3ZpV6Qt

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