Clement Fung

According to our database, Clement Fung authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adopting AI to Protect Industrial Control Systems: Assessing Challenges and Opportunities from the Operators' Perspective.

Clement Fung, Eric Zeng, Lujo Bauer

Proceedings of the Twenty-First Symposium on Usable Privacy and Security, 2025

2024

Attributions for ML-based ICS Anomaly Detection: From Theory to Practice.

Clement Fung, Eric Zeng, Lujo Bauer

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Targeted Image Transformation for Improving Robustness in Long Range Aircraft Detection.

Rebecca Martin, Clement Fung, Nikhil Varma Keetha, Lujo Bauer, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data.

Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph

CoRR, 2023

2022

Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems.

Clement Fung, Shreya Srinarasi, Keane Lucas, Hay Bryan Phee, Lujo Bauer

Proceedings of the Computer Security - ESORICS 2022, 2022

2021

Biscotti: A Blockchain System for Private and Secure Federated Learning.

Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh

IEEE Trans. Parallel Distributed Syst., 2021

Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning.

William Melicher, Clement Fung, Lujo Bauer, Limin Jia

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

The Limitations of Federated Learning in Sybil Settings.

Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh

Proceedings of the 23rd International Symposium on Research in Attacks, 2020

2019

BPG: Seamless, automated and interactive visualization of scientific data.

Christine P'ng, Jeffrey Green, Lauren C. Chong, Daryl Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Nguyen, Denise Y. F. Mak, Felix Lam, Marco A. Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle A. Chan-Seng-Yue, Cindy Q. Yao, Bianca Liang, Emilie Lalonde, Syed Haider, Nicole A. Simone, Dorota H. Sendorek, Kenneth C. Chu, Nathalie C. Moon, Natalie S. Fox, Michal R. Grzadkowski, Nicholas J. Harding, Clement Fung, Amanda R. Murdoch, Kathleen E. Houlahan, Jianxin Wang, David R. Garcia, Richard de Borja, Ren X. Sun, Xihui Lin, Gregory M. Chen, Aileen Lu, Yu-Jia Shiah, Amin Zia, Ryan Kearns, Paul C. Boutros

BMC Bioinform., 2019

Brokered Agreements in Multi-Party Machine Learning.

Clement Fung, Ivan Beschastnikh

Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems, 2019

2018

Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning.

Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh

CoRR, 2018

Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting.

Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh

CoRR, 2018

Mitigating Sybils in Federated Learning Poisoning.

Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh

CoRR, 2018

2017

Erratum to: A bedr way of genomic interval processing.

Syed Haider, Daryl Waggott, Emilie Lalonde, Clement Fung, Fei-Fei Liu, Paul C. Boutros

Source Code Biol. Medicine, 2017

2016

A bedr way of genomic interval processing.

Syed Haider, Daryl Waggott, Emilie Lalonde, Clement Fung, Fei-Fei Liu, Paul C. Boutros

Source Code Biol. Medicine, 2016