An Ju


An is a PhD student in computer science at the University of California, Berkeley. His research
focuses on robust machine learning, where he designs better deep Bayesian models that are more trustworthy and robust. Previously, he worked on software engineering and CS Education research.

CLTC Grant Projects

  • Towards Bayesian Classifiers that are Robust Against Adversarial Attacks (2021)

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