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.

📢 I am applying for tenure-track positions in the upcoming academic cycle, for positions starting in the 2026 academic year. If you have relevant leads, please reach out!

My research interests are at the intersection of security, machine learning (ML), and cyber-physical systems.
My PhD thesis proposes ML-based techniques and guidelines for making anomaly-detection systems more effective at securing industrial control systems (ICS). This involves:

• Evaluating which models and techniques perform best (ESORICS '22)
• Designing attribution methods to aid with anomaly diagnosis (NDSS '24)
• Interviewing practitioners to understand needs and opportunities for ML in ICS (SOUPS '25)

My other research projects include:

• Data augmentation techniques to improve anomaly detection systems (TAI '25, IROS '24)
• ML-based DOM-XSS vulnerability detection (WWW '21)
• Attacks and defenses for 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.

I finished my B.A.Sc. in Systems Design Engineering in 2016 at the University of Waterloo, which included 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

• 08/2025 [Talk]: Presenting a talk at SOUPS 2025 and a research poster at USENIX Security 2025 in Seattle!
• 05/2025 [Paper]: "Adopting AI to Protect Industrial Control Systems: Assessing Challenges and Opportunities from the Operators' Perspective" accepted at SOUPS 2025!
• 04/2025 [Paper]: "Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data" accepted in IEEE Transactions on Artificial Intelligence (TAI)!
• 03/2025 [Service]: Serving as a PC member for ISC 2025.
• 03/2025 [Service]: Serving as a PC member for RAID 2025.
• 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!
• Older news

Happy to Connect!

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