Events
Colloquium
FDS Colloquium: Adam Sealfon (Google Research), “Two-prover election audits with untrusted scanners”
Abstract: We introduce a new way to conduct election audits using untrusted scanners. Post-election audits perform statistical hypothesis testing to confirm election outcomes. However, […]
FDS Colloquium: Guang Lin (Purdue), “Towards Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering”
Abstract: This talk aims to create new technologies that can be translated into interpretable, robust trustworthy AI systems that can be deployed for real-time […]
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