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New research examines how assumptions affect

<p>Motion capture technology has applications in a wide range of fields, including entertainment, medicine, and sports, to name a few. But what if the measurements these systems were based on were rooted in social practices and biased assumptions, leading to errors that become ingrained over time? This question is at the heart of&nbsp;<a href="https://arxiv.org/abs/2401.10877">new research</a>&nbsp;co-authored by&nbsp;<a href="https://datascience.virginia.edu/people/mona-sloane">Mona Sloane</a>, an assistant professor of data science and media studies at the University of Virginia.&nbsp;</p>
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Boosting faith in the authenticity of open source software

The Speranza system enhances software repository security by using zero-knowledge identity co-commitments and automated certificate authorities, ensuring software authenticity while maintaining developer anonymity. Its practical implementation, efficient operation, and minimal infrastructure impact make it a scalable and deployable solution for securing open-source software repositories. ....

United States , Kelsey Merrill , Karen Sollins , Marcela Mellara , Marina Moore , Artificial Intelligence Laboratory , Communications Security Conference , York University Center , Privacy Research , Purdue University , Department Of Electrical Engineering , Source Security , Risk Analysis , Electrical Engineering , Santiago Torres Arias , Zachary Newman , Chainguard Labs , John Speed Meyers , New York University Center , Intel Labs , Mit Csail , Cybersecurity Software , Digital Signature , Zero Knowledge , Open Source Software , Software Repositories ,