About Me
I am a 6th year Societal Computing PhD
candidate 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 security, machine learning, and cyber-physical systems.
My PhD thesis focuses on making ML-based anomaly detection more effective for industrial control systems (NDSS '24, ESORICS '22).
My prior research projects include: (i) client-side, ML-based DOM-XSS vulnerability detection (WWW '21) and
(ii) attacking and defending multi-party federated learning systems (TPDS '21, RAID '20).
I finished my M.Sc. in computer science in 2018 at the University of British Columbia, as a member of the Networks, Systems and Security (Systopia) Lab.
I built systems for private and secure multi-party machine learning with Ivan Beschastnikh, to whom I owe a great deal.
I finished my B.A.Sc. in Systems Design Engineering in 2016 at the University of Waterloo,
with multiple internships spanning a variety of projects: from developing tools for bio-informatics research to building online machine-learning infrastructure at LinkedIn.
I currently maintain the Security and Privacy Conference Deadlines webpage.
Contact
Email : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2223B
Recent News
- 03/2025 [Service]: Serving as a PC member for RAID '25!
- 03/2025 [Service]: Serving as a PC member for ISC '25!
- 01/2025 [Misc]: Officially completed the CMU Eberly Future Faculty Program, a program designed to help students develop teaching skills in preparation for a faculty career. Thank you to the Eberly consultants who helped me throughout the process!
- 11/2024 [Award]: Best Poster Award at the 2024 IAP CMU Workshop on the Future of AI and Security in the Cloud!
- 10/2024 [Talk]: With funding from the DAAD AINet Fellowship, I visited Germany and gave research talks at KIT, MPI-SWS, and CISPA. Thank you to the faculty who hosted me and to all who met with me!
- 10/2024 [Talk]: Presented an overview of my dissertation at a CAE-R Research Symposium as part of the 2024 National Cybersecurity Education Colloquium in St. Louis!
- 07/2024 [Misc]: Passed my Thesis Proposal! Thank you to the audience and committee for their feedback.
- 07/2024 [Paper]: "Targeted Image Transformation for Improving Robustness in Long Range Aircraft Detection" accepted at IROS 2024!
- 05/2024 [Misc]: Attending Hack the Capitol 7.0 in Washington, DC to share my research in ICS security with government and industry.
- 04/2024 [Award]: Selected as a 2024 DAAD AINet Fellow in "Safety and Security in AI"!
- Older news
Happy to Connect!
Github
LinkedIn
Flickr
Lastfm
Last Updated: March 28, 2025
Copyright © Clement Fung