Clement Fung
PhD Student
Carnegie Mellon University

About Me

I am a 2nd year Societal Computing PhD student in the School of Computer Science at Carnegie Mellon University, advised by Lujo Bauer. I am a member of CyLab, the security and privacy institute at CMU.

My research interests are at the intersection of machine learning, security, and systems. In the past, I was especially interested in attacks and defenses for multi-party machine learning systems such as Google's federated learning.

I finished my M.Sc. in computer science in 2018 at the University of British Columbia, where I was a member of the Networks, Systems and Security (NSS) Lab. I built systems for private and secure multi-party machine learning under the helpful supervision of Ivan Beschastnikh.

Even more before that, I finished my B.A.Sc. Systems Design Engineering in 2016 at the University of Waterloo, where I spent several work terms across a wide variety of projects, from developing bioinformatics research tools to building online recommender systems infrastructure at scale with LinkedIn.

Contact

Email : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2223B

Recent News

  • 07/2020 [Paper]: "The Limitations of Federated Learning in Sybil Settings" at RAID 2020. Would have gone to Spain in October, but instead the conference will be virtual due to COVID-19.
  • 08/2019 [Misc]: Starting my PhD at CMU. The journey continues!
  • 08/2019 [Paper]: "Brokered Agreements in Multi-Party Machine Learning" at APSys 2019. Had a great time in Hangzhou, China!
  • 07/2019 [Work]: My last day at Oasis Labs. Thank you so much for a great 7 months in California, and I'm so excited to see more great work in privacy-preserving technology coming from the team!
  • 06/2019 [Paper]: "GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery" at the ICML 2019, Climate Change: How Can AI Help? workshop in Long Beach.
  • Older news

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Last Updated: Aug 3, 2020
Copyright © Clement Fung