Reliable collection of real-time patient physiologic data from less reliable networks: a “monitor of monitors” system (MoMs) PF Hu, S Yang, HC Li, LG Stansbury, F Yang, G Hagegeorge, C Miller, ... Journal of medical systems 41, 1-8, 2017 | 19 | 2017 |
Using randomness to improve robustness of tree-based models against evasion attacks F Yang, Z Chen, A Gangopadhyay Proceedings of the ACM International Workshop on Security and Privacy …, 2019 | 11 | 2019 |
Anonymization of network traces data through condensation-based differential privacy A Aleroud, F Yang, SC Pallaprolu, Z Chen, G Karabatis Digital Threats: Research and Practice (DTRAP) 2 (4), 1-23, 2021 | 10 | 2021 |
Method for anonymizing network data using differential privacy G Karabatis, Z Chen, A Aleroud, F Yang US Patent 11,483,294, 2022 | 1 | 2022 |
Cluster-based join for geographically distributed big RDF data F Yang, A Crainiceanu, Z Chen, D Needham 2019 IEEE International Congress on Big Data (BigDataCongress), 170-178, 2019 | 1 | 2019 |
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks F Yang, Z Chen arXiv preprint arXiv:1808.03601, 2018 | 1 | 2018 |
Co-clustering for queries and corresponding advertisement F Yang, B An, X Wang 2009 International Conference on Machine Learning and Cybernetics 4, 2296-2299, 2009 | 1 | 2009 |
Chinese text categorization based on fuzzy association rules F Yuan, Y Guo, L Yang, F Yang 2006 International Conference on Machine Learning and Cybernetics, 1030-1035, 2006 | 1 | 2006 |
Cluster-Based Joins for Federated SPARQL Queries F Yang, A Crainiceanu, Z Chen, D Needham IEEE Transactions on Knowledge and Data Engineering 35 (4), 3525-3539, 2021 | | 2021 |
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks F Yang, Z Chen, A Gangopadhyay IEEE Transactions on Knowledge and Data Engineering 34 (2), 969 - 982, 2020 | | 2020 |
Improving Robustness of Data Mining Models in Cybersecurity Applications F Yang UMBC Student Collection, 2019 | | 2019 |