| Demystifying membership inference attacks in machine learning as a service S Truex, L Liu, ME Gursoy, L Yu, W Wei IEEE Transactions on Services Computing 14 (6), 2073-2089, 2021 | 394* | 2021 |
| LDP-Fed: Federated learning with local differential privacy S Truex, L Liu, KH Chow, ME Gursoy, W Wei Proceedings of the third ACM international workshop on edge systems …, 2020 | 365 | 2020 |
| A Framework for Evaluating Client Privacy Leakages in Federated Learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu European Symposium on Research in Computer Security, 545-566, 2020 | 237* | 2020 |
| Demystifying learning rate policies for high accuracy training of deep neural networks Y Wu, L Liu, J Bae, KH Chow, A Iyengar, C Pu, W Wei, L Yu, Q Zhang 2019 IEEE International conference on big data (Big Data), 1971-1980, 2019 | 145 | 2019 |
| Utility-aware synthesis of differentially private and attack-resilient location traces ME Gursoy, L Liu, S Truex, L Yu, W Wei Proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018 | 99 | 2018 |
| Secure and utility-aware data collection with condensed local differential privacy ME Gursoy, A Tamersoy, S Truex, W Wei, L Liu IEEE Transactions on Dependable and Secure Computing 18 (5), 2365-2378, 2021 | 94 | 2021 |
| Machine learning for synthetic data generation: a review Y Lu, M Shen, H Wang, X Wang, C van Rechem, W Wei arXiv preprint arXiv:2302.04062, 2023 | 83 | 2023 |
| Adversarial objectness gradient attacks in real-time object detection systems KH Chow, L Liu, M Loper, J Bae, ME Gursoy, S Truex, W Wei, Y Wu 2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020 | 83* | 2020 |
| Gradient-leakage resilient federated learning W Wei, L Liu, Y Wu, G Su, A Iyengar 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 76 | 2021 |
| Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness L Liu, W Wei, KH Chow, M Loper, E Gursoy, S Truex, Y Wu 2019 IEEE 16th international conference on mobile ad hoc and sensor systems …, 2019 | 73 | 2019 |
| Network representation learning: from preprocessing, feature extraction to node embedding J Zhou, L Liu, W Wei, J Fan ACM Computing Surveys (CSUR) 55 (2), 1-35, 2022 | 72 | 2022 |
| Benchmarking deep learning frameworks: Design considerations, metrics and beyond L Liu, Y Wu, W Wei, W Cao, S Sahin, Q Zhang 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 65 | 2018 |
| A comparative measurement study of deep learning as a service framework Y Wu, L Liu, C Pu, W Cao, S Sahin, W Wei, Q Zhang IEEE Transactions on Services Computing 15 (1), 551-566, 2022 | 62 | 2022 |
| Effects of differential privacy and data skewness on membership inference vulnerability S Truex, L Liu, ME Gursoy, W Wei, L Yu 2019 First IEEE international conference on trust, privacy and security in …, 2019 | 48 | 2019 |
| Boosting ensemble accuracy by revisiting ensemble diversity metrics Y Wu, L Liu, Z Xie, KH Chow, W Wei Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 38 | 2021 |
| Gradient leakage attack resilient deep learning W Wei, L Liu IEEE Transactions on Information Forensics and Security 17, 303-316, 2022 | 36 | 2022 |
| Adversarial Deception in Deep Learning: Analysis and Mitigation W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu 2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020 | 30* | 2020 |
| Robust deep learning ensemble against deception W Wei, L Liu IEEE Transactions on Dependable and Secure Computing 18 (4), 1513-1527, 2021 | 29 | 2021 |
| Private and truthful aggregative game for large-scale spectrum sharing P Zhou, W Wei, K Bian, DO Wu, Y Hu, Q Wang IEEE Journal on Selected Areas in Communications 35 (2), 463-477, 2017 | 26 | 2017 |
| Understanding object detection through an adversarial lens KH Chow, L Liu, ME Gursoy, S Truex, W Wei, Y Wu Computer Security–ESORICS 2020: 25th European Symposium on Research in …, 2020 | 24 | 2020 |
