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FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning


Sep 08, 2021
Lan Zhang, Xiaoyong Yuan

* 13 pages 

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A Vertical Federated Learning Framework for Horizontally Partitioned Labels


Jun 18, 2021
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan

* 10 pages, 6 figures 

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ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles


Sep 21, 2020
Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu


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Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks


Sep 07, 2020
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu

* accepted at EAI SecureComm 2020 

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Generalized Batch Normalization: Towards Accelerating Deep Neural Networks


Dec 08, 2018
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li

* accepted at AAAI-19 

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Adaptive Adversarial Attack on Scene Text Recognition


Jul 09, 2018
Xiaoyong Yuan, Pan He, Xiaolin Andy Li


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Adversarial Examples: Attacks and Defenses for Deep Learning


Jul 07, 2018
Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li

* Github: https://github.com/chbrian/awesome-adversarial-examples-dl 

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Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection


Dec 04, 2017
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li

* 17 pages, 7 figures 

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