| Mitigating Sybils in Federated Learning Poisoning C Fung, CJM Yoon, I Beschastnikh arXiv preprint arXiv:1808.04866, 2018 | 619 | 2018 |
| The Limitations of Federated Learning in Sybil Settings C Fung, CJM Yoon, I Beschastnikh 23rd International Symposium on Research in Attacks, Intrusions and Defenses …, 2020 | 356 | 2020 |
| Biscotti: A Blockchain System for Private and Secure Federated Learning M Shayan, C Fung, CJM Yoon, I Beschastnikh IEEE Transactions on Parallel and Distributed Systems 32 (7), 1513-1525, 2020 | 331* | 2020 |
| BPG: Seamless, automated and interactive visualization of scientific data C P’ng, J Green, LC Chong, D Waggott, SD Prokopec, M Shamsi, ... BMC bioinformatics 20, 1-5, 2019 | 97 | 2019 |
| Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning W Melicher, C Fung, L Bauer, L Jia Proceedings of the Web Conference 2021, 2684-2695, 2021 | 32 | 2021 |
| A bedr way of genomic interval processing S Haider, D Waggott, E Lalonde, C Fung, FF Liu, PC Boutros Source code for biology and medicine 11, 1-7, 2016 | 24 | 2016 |
| GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery D Dao, C Cang, C Fung, M Zhang, N Pawlowski, R Gonzales, N Beglinger, ... ICML 2019 Workshop: Climate Change - How can AI help?, 2019 | 18 | 2019 |
| Dancing in the dark: Private multi-party machine learning in an untrusted setting C Fung, J Koerner, S Grant, I Beschastnikh arXiv preprint arXiv:1811.09712, 2018 | 12 | 2018 |
| Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems C Fung, S Srinarasi, K Lucas, HB Phee, L Bauer 27th European Symposium on Research in Computer Security, 493-513, 2022 | 8 | 2022 |
| Attributions for ML-based ICS Anomaly Detection: From Theory to Practice C Fung, E Zeng, L Bauer 31st Network and Distributed System Security (NDSS) Symposium, 2024 | 2 | 2024 |
| Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data C Fung, C Qiu, A Li, M Rudolph arXiv preprint arXiv:2310.10461, 2023 | 2 | 2023 |
| Brokered Agreements in Multi-Party Machine Learning C Fung, I Beschastnikh Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems, 69-75, 2019 | 1 | 2019 |
Ivan BeschastnikhUniversity of British ColumbiaVerified email at cs.ubc.ca
