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Yanzhao Wu
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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
201*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
1462018
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
1342019
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
73*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
692019
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
612018
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
592022
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
572021
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
342021
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
282019
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
242020
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
212019
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
212018
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
202020
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
152022
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
142022
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
142020
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
92023
Securing distributed SGD against gradient leakage threats
W Wei, L Liu, J Zhou, KH Chow, Y Wu
IEEE Transactions on Parallel and Distributed Systems, 2023
82023
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Articles 1–20