| Deep learning for encrypted traffic classification: An overview S Rezaei, X Liu IEEE communications magazine 57 (5), 76-81, 2019 | 573 | 2019 |
| How to achieve high classification accuracy with just a few labels: A semi-supervised approach using sampled packets S Rezaei, X Liu Industrial Conference on Data Mining (ICDM), 28-42, 2019 | 148 | 2019 |
| Large-scale mobile app identification using deep learning S Rezaei, B Kroencke, X Liu IEEE Access 8, 348-362, 2019 | 119 | 2019 |
| Multitask learning for network traffic classification S Rezaei, X Liu 2020 29th International Conference on Computer Communications and Networks …, 2020 | 105 | 2020 |
| On the Difficulty of Membership Inference Attacks S Rezaei, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 98* | 2020 |
| A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning S Rezaei, X Liu International Conference on Learning Representations, 2020 | 62 | 2020 |
| User-Level Membership Inference Attack against Metric Embedding Learning G Li, S Rezaei, X Liu ICLR 2022 PAIR^2Struct: Privacy, Accountability, Interpretability …, 2022 | 30 | 2022 |
| Throughput Analysis of IEEE 802.11 Multi-hop Wireless Networks with Routing Consideration: A General Framework S Rezaei, M Gharib, A Movaghar IEEE Transactions on Communications 66 (11), 5430 - 5443, 2018 | 20 | 2018 |
| Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective S Rezaei, Z Shafiq, X Liu 2023 IEEE Symposium on Security and Privacy (SP), 1901-1918, 2021 | 18* | 2021 |
| An efficient subpopulation-based membership inference attack S Rezaei, X Liu arXiv preprint arXiv:2203.02080, 2022 | 9 | 2022 |
| Applications of machine learning for the classification of porcine reproductive and respiratory syndrome virus sublineages using amino acid scores of ORF5 gene J Kim, K Lee, R Rupasinghe, S Rezaei, B Martínez-López, X Liu Frontiers in Veterinary Science 8, 683134, 2021 | 7 | 2021 |
| An ambulatory blood pressure monitor mobile health system for early warning for stroke risk: longitudinal observational study G Wang, S Zhou, S Rezaei, X Liu, A Huang JMIR mHealth and uHealth 7 (10), e14926, 2019 | 7 | 2019 |
| A novel way to predict PRRS outbreaks in the swine industry using multiple spatio-temporal features and machine learning approaches M Shamsabardeh, S Rezaei, JP Gomez, B Martínez-López, X Liu Frontiers in Veterinary Science 6, 2019 | 7 | 2019 |
| Uncovering the Gut–Liver Axis Biomarkers for Predicting Metabolic Burden in Mice G Yang, R Liu, S Rezaei, X Liu, YJY Wan Nutrients 15 (15), 3406, 2023 | 6 | 2023 |
| Modeling and evaluation of multi-hop wireless networks using SRNs R Entezari-Maleki, M Gharib, S Rezaei, KS Trivedi, A Movaghar IEEE Transactions on Network Science and Engineering 8 (1), 662-679, 2020 | 5 | 2020 |
| Security of deep learning methodologies: Challenges and opportunities S Rezaei, X Liu arXiv preprint arXiv:1912.03735, 2019 | 5 | 2019 |
| Impact of Jitter Mechanisms on Metric-based Wireless Routing Protocols S Rezaei, AMA Hemmatyar IEEE International Conference on Wireless Communications, Signal Processing …, 2016 | 5 | 2016 |
| An area-scalable human-based mobility model M Gharib, A Foroozani, S Rezaei, AMA Hemmatyar, A Movaghar Computer Networks 177, 107300, 2020 | 4 | 2020 |
| General study of jitter mechanisms for metric-based wireless routing protocols S Rezaei, AMA Hemmatyar AEU-International Journal of Electronics and Communications 79, 132-140, 2017 | 3 | 2017 |
| Predicting antimicrobial resistance of bacterial pathogens using time series analysis J Kim, R Rupasinghe, A Halev, C Huang, S Rezaei, MJ Clavijo, ... Frontiers in Microbiology 14, 1160224, 2023 | 2 | 2023 |