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Rachel Steratore

As seen in: RAND Corporation
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Articles

Verified Machine Learning Infrastructure

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By Gopal Sarma, Rachel Steratore, Sunny Bhatt
| RAND Corporation
Key Takeaways The vulnerability landscape is severe and poses significant risks. Critical vulnerabilities in major serving frameworks confirm that machine learning (ML) infrastructure has often prioritized performance and features over security. In the survey, experts rated weight integrity and supply chain threats as the most urgent concerns. Verification is effective for infrastructure but not for models.
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Alerting the Nation

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By Jason Thomas, Andrew Parker, Rachel Steratore, Jason Barnosky
| RAND Corporation
In this RAND webinar, Andrew Parker and Rachel Steratore summarize results of a large, national survey fielded to the American public immediately following the nationwide test of the Wireless Emergency Alerts (WEA) system. They discuss how well the U.S. public received the test alert, public awareness of the WEA system, and the rates of opting out of types of emergency alerts.
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A Risk Assessment of National Critical Functions During COVID-19

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By Benjamin Lee, Kristin J. Leuschner, Jonathan W. Welburn, Rachel Steratore
| RAND Corporation
Research Questions What are the challenges and opportunities related to use of the NCF risk assessment framework? How might the framework be improved?
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