Wenqi Wei
Tytuł
Cytowane przez
Cytowane przez
Rok
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
342019
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
322020
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
272019
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
232019
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
232019
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
222018
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
202018
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
172018
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
132017
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
122019
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
92020
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
52019
Robust deep learning ensemble against deception
W Wei, L Liu
IEEE Transactions on Dependable and Secure Computing, 2020
42020
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
42020
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
22020
Bitcoin transaction forecasting with deep network representation learning
W Wei, Q Zhang, L Liu
IEEE Transactions on Emerging Topics in Computing, 2020
22020
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
12021
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