Cybersecurity abstract mage

Berkeley researchers to help develop trustworthy machine learning systems

Berkeley engineers, led by Dawn Song, professor of electrical engineering and computer sciences, are part of the new Center for Trustworthy Machine Learning funded by the National Science Foundation. The NSF center, led by Pennsylvania State University and announced today, will focus on developing secure systems in the era of machine learning models. The center, part of the NSF Secure and Trustworthy Cyberspace program, will receive $10 million over five years.  Other collaborating institutions include Stanford University, University of Virginia, UC San Diego and the University of Wisconsin-Madison. 


Topics: Computing, Research, Security & privacy, Honors & awards