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 | 240* | 2020 |
CCAligner: a token based large-gap clone detector P Wang, J Svajlenko, Y Wu, Y Xu, CK Roy Proceedings of the 40th International Conference on Software Engineering …, 2018 | 157 | 2018 |
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 |
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 | 84* | 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 | 77 | 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 |
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 |
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 |
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 |
Memory disaggregation: Research problems and opportunities L Liu, W Cao, S Sahin, Q Zhang, J Bae, Y Wu 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 29 | 2019 |
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 |
Experimental characterizations and analysis of deep learning frameworks Y Wu, W Cao, S Sahin, L Liu 2018 IEEE International Conference on Big Data (Big Data), 372-377, 2018 | 24 | 2018 |
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 | 22 | 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 | 21 | 2020 |
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service Z Xie, L Liu, Y Wu, L Li, L Zhong IEEE Transactions on Services Computing 15 (6), 3304-3316, 2022 | 20 | 2022 |
Security and privacy challenges of large language models: A survey BC Das, MH Amini, Y Wu arXiv preprint arXiv:2402.00888, 2024 | 17 | 2024 |
Learning text-image joint embedding for efficient cross-modal retrieval with deep feature engineering Z Xie, L Liu, Y Wu, L Zhong, L Li ACM Transactions on Information Systems (TOIS) 40 (4), 1-27, 2022 | 17 | 2022 |
Selecting and composing learning rate policies for deep neural networks Y Wu, L Liu ACM Transactions on Intelligent Systems and Technology 14 (2), 1-25, 2023 | 16 | 2023 |
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 | 14 | 2020 |