Xiaoyong (Brian) Yuan
Xiaoyong (Brian) Yuan
Muut nimetXiaoyong Yuan, Brian Yuan
Assistant Professor, Clemson University
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Adversarial examples: Attacks and defenses for deep learning
X Yuan, P He, Q Zhu, X Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017
DeepDefense: identifying DDoS attack via deep learning
X Yuan, C Li, X Li
2017 IEEE international conference on smart computing (SMARTCOMP), 1-8, 2017
Detection and defense of DDoS attack–based on deep learning in OpenFlow‐based SDN
C Li, Y Wu, X Yuan, Z Sun, W Wang, X Li, L Gong
International Journal of Communication Systems 31 (5), e3497, 2018
Phd forum: Deep learning-based real-time malware detection with multi-stage analysis
X Yuan
2017 IEEE International Conference on Smart Computing (SMARTCOMP), 1-2, 2017
ES attack: Model stealing against deep neural networks without data hurdles
X Yuan, L Ding, L Zhang, X Li, DO Wu
IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
X Yuan, L Zhang
31st USENIX Security Symposium (USENIX Security 22), 2022
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
X Yuan, Z Feng, M Norton, X Li
AAAI 2019, 2019
Fedzkt: Zero-shot knowledge transfer towards resource-constrained federated learning with heterogeneous on-device models
L Zhang, D Wu, X Yuan
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
A methodology for continuous evaluation of cloud resiliency
X Yuan, L Wang, T Liu, Y Zhang
American Journal of Engineering and Applied Sciences 9, 264-273, 2016
Adaptive adversarial attack on scene text recognition
X Yuan, P He, X Li, D Wu
IEEE International Conference on Computer Communications (INFOCOM) Workshop …, 2020
An Analysis on Availability Commitment and Penalty in Cloud SLA
X Yuan, Y Li, T Jia, T Liu, Z Wu
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th …, 2015
Beyond class-level privacy leakage: Breaking record-level privacy in federated learning
X Yuan, X Ma, L Zhang, Y Fang, D Wu
IEEE Internet of Things Journal 9 (4), 2555-2565, 2021
Intelligent perioperative system: towards real-time big data analytics in surgery risk assessment
Z Feng, RR Bhat, X Yuan, D Freeman, T Baslanti, A Bihorac, X Li
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th …, 2017
A competitive penalty model for availability based cloud SLA
X Yuan, H Tang, Y Li, T Jia, T Liu, Z Wu
Cloud computing (CLOUD), 2015 IEEE 8th International Conference on, 964-970, 2015
Learning fast and slow: Propedeutica for real-time malware detection
R Sun, X Yuan, P He, Q Zhu, A Chen, A Gregio, D Oliveira, X Li
IEEE Transactions on Neural Networks and Learning Systems, 2021
Identifying Mg ii narrow absorption lines with deep learning
Y Zhao, J Ge, X Yuan, T Zhao, C Wang, X Li
Monthly Notices of the Royal Astronomical Society 487 (1), 801-811, 2019
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection
SS Chaturvedi, L Zhang, X Yuan
26th International Conference on Pattern Recognition (ICPR), 4573-4579, 2022
A vertical federated learning framework for horizontally partitioned labels
W Xia, Y Li, L Zhang, Z Wu, X Yuan
arXiv preprint arXiv:2106.10056, 2021
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
R Sun, M Botacin, N Sapountzis, X Yuan, M Bishop, DE Porter, X Li, ...
IEEE Transactions on Dependable and Secure Computing, 2020
Dependability analysis on open stack IaaS cloud: bug analysis and fault injection
Y Xiaoyong, L Ying, W Zhonghai, L Tiancheng
2014 IEEE 6th International Conference on Cloud Computing Technology and …, 2014
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