Artykuły udostępnione publicznie: - Xintao WuWięcej informacji
Niedostępne w żadnym miejscu: 8
Differential privacy preserving causal graph discovery
D Xu, S Yuan, X Wu
2017 IEEE Symposium on Privacy-Aware Computing (PAC), 60-71, 2017
Upoważnienia: US National Science Foundation, US National Institutes of Health
Building bayesian networks from gwas statistics based on independence of causal influence
L Zhang, Q Pan, X Wu, X Shi
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
Upoważnienia: US National Science Foundation
Dynamic anomaly detection using vector autoregressive model
Y Li, A Lu, X Wu, S Yuan
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
Upoważnienia: US National Science Foundation
On burst detection and prediction in retweeting sequence
Z Luo, Y Wang, X Wu, W Cai, T Chen
Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015
Upoważnienia: US National Institutes of Health
Social network dominance based on analysis of asymmetry
Y Li, X Wu, S Yang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Upoważnienia: US National Science Foundation
Genetic Privacy: Risks, Ethics, and Protection Techniques
X Shi, X Wu
Proceedings of the NSF Workshop on Data Science, Learning, and Applications …, 2016
Upoważnienia: US National Science Foundation, US National Institutes of Health
Fair Machine Learning Through the Lens of Causality
Y Wu, L Zhang, X Wu
Machine Learning for Causal Inference, 103-135, 2023
Upoważnienia: US National Science Foundation
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
C Zhao, F Chen, X Wu, H Chen, J Zhou
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 94
Fairgan: Fairness-aware generative adversarial networks
D Xu, S Yuan, L Zhang, X Wu
2018 IEEE international conference on big data (big data), 570-575, 2018
Upoważnienia: US National Science Foundation
Differential privacy preservation for deep auto-encoders: an application of human behavior prediction
NH Phan, Y Wang, X Wu, D Dou
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Upoważnienia: US National Science Foundation, US National Institutes of Health
Logbert: Log anomaly detection via bert
H Guo, S Yuan, X Wu
2021 international joint conference on neural networks (IJCNN), 1-8, 2021
Upoważnienia: US National Science Foundation
Deep learning for insider threat detection: Review, challenges and opportunities
S Yuan, X Wu
Computers & Security 104, 102221, 2021
Upoważnienia: US National Science Foundation
Adaptive laplace mechanism: Differential privacy preservation in deep learning
NH Phan, X Wu, H Hu, D Dou
2017 IEEE international conference on data mining (ICDM), 385-394, 2017
Upoważnienia: US National Science Foundation, US National Institutes of Health
One-class adversarial nets for fraud detection
P Zheng, S Yuan, X Wu, J Li, A Lu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1286-1293, 2019
Upoważnienia: US National Science Foundation
Using Randomized Response for Differential Privacy Preserving Data Collection
Y Wang, X Wu, D Hu
Proceedings of the 9th International Workshop on Privacy and Anonymity in …, 2016
Upoważnienia: US National Science Foundation, US National Institutes of Health
Fairness-aware agnostic federated learning
W Du, D Xu, X Wu, H Tong
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
Upoważnienia: US National Science Foundation
SNE: signed network embedding
S Yuan, X Wu, Y Xiang
Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China
Preserving differential privacy in degree-correlation based graph generation
Y Wang, X Wu
Transactions on data privacy 6 (2), 127, 2013
Upoważnienia: US National Institutes of Health
Pc-fairness: A unified framework for measuring causality-based fairness
Y Wu, L Zhang, X Wu, H Tong
Advances in neural information processing systems 32, 2019
Upoważnienia: US National Science Foundation
Counterfactual fairness: Unidentification, bound and algorithm
Y Wu, L Zhang, X Wu
Proceedings of the twenty-eighth international joint conference on …, 2019
Upoważnienia: US National Science Foundation
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