| 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, 2019 | 114* | 2019 |
| 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 | 34 | 2019 |
| 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 | 32 | 2020 |
| 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, 2019 | 27 | 2019 |
| 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 | 26* | 2020 |
| 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 | 23 | 2019 |
| 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, 2019 | 23 | 2019 |
| 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 | 22 | 2018 |
| 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 | 20 | 2018 |
| Adversarial examples in deep learning: Characterization and divergence W Wei, L Liu, M Loper, S Truex, L Yu, ME Gursoy, Y Wu arXiv preprint arXiv:1807.00051, 2018 | 17 | 2018 |
| 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 | 13 | 2017 |
| Denoising and verification cross-layer ensemble against black-box adversarial attacks KH Chow, W Wei, Y Wu, L Liu 2019 IEEE International Conference on Big Data (Big Data), 1282-1291, 2019 | 12 | 2019 |
| Cross-layer strategic ensemble defense against adversarial examples W Wei, L Liu, M Loper, KH Chow, E Gursoy, S Truex, Y Wu 2020 International Conference on Computing, Networking and Communications …, 2020 | 9 | 2020 |
| 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 | 5* | 2020 |
| 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 | 5 | 2019 |
| Robust deep learning ensemble against deception W Wei, L Liu IEEE Transactions on Dependable and Secure Computing, 2020 | 4 | 2020 |
| Understanding Object Detection Through an Adversarial Lens KH Chow, L Liu, ME Gursoy, S Truex, W Wei, Y Wu European Symposium on Research in Computer Security, 460-481, 2020 | 4 | 2020 |
| Promoting high diversity ensemble learning with ensemblebench Y Wu, L Liu, Z Xie, J Bae, KH Chow, W Wei 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 2 | 2020 |
| Bitcoin transaction forecasting with deep network representation learning W Wei, Q Zhang, L Liu IEEE Transactions on Emerging Topics in Computing, 2020 | 2 | 2020 |
| 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 | 1 | 2021 |
