Software Engineer
Machine Learning Systems Security · 2025-02-26
Proposed Endeavor
The petitioner proposes to investigate the security of machine learning models, including large language models, multi-modal machine learning models, and large foundation models. The goal is to identify vulnerabilities in these models and design advanced defense mechanisms to enhance the security of these AI systems.
Framework Evaluation
0 of 3 criteria metThe endeavor was found to have substantial merit, but the petitioner failed to demonstrate national importance, as the impact was not shown to extend broadly beyond direct users or have substantial positive economic effects.
USCIS declined to evaluate this prong because the first prong was not met, making the issue dispositive.
USCIS declined to evaluate this prong because the first prong was not met, making the issue dispositive.
Why This Petition Was Denied
Request for Evidence (RFE)
Unsuccessfully AddressedThe RFE requested further evidence regarding the national importance of the petitioner's proposed endeavor. In response, the petitioner provided a more specific description of his work, additional support letters, and government documents highlighting the general importance of AI security. However, this response did not sufficiently link the general importance of AI security to the specific national importance of the petitioner's individual endeavor.
Evidence
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Case data sourced from publicly available petition decisions and case studies. Decision date: 2025-02-26.
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