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Pages
About me
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Posts
博士面试总结
Published:
博士面经总结
博士期间工作介绍
Published:
博士期间工作介绍
保护用户隐私———Protecting user privacy: an approach for untraceable web browsing history and unambiguous user profiles
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保护用户隐私：一种不可追踪的网络浏览历史和清晰的用户侧写
生成对抗网络分解———GAN dissection: visualizing and understanding generative adversarial networks
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生成对抗网络分解：可视化和理解生成对抗网络
区块链论文解读———未知智能合约的逆向
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本文是伊利诺伊大学香槟分校发表于USENIX 2018 的工作，文章提出了一种在逆向分析以太坊上智能合约代码的模型。
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection
Published in TrustCom/BigDataSE 2018, 2018
Recommended citation: Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu. Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection[C]//2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018: 744-753. https://ieeexplore.ieee.org/document/8455976
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic
Published in Milcom IEEE, 2018
Recommended citation: Yepeng Yao, Liya Su, Zhigang Lu: DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic[C]//2018 Milcom. IEEE, 2018: 579-584. https://ieeexplore.ieee.org/document/8599821
Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection
Published in ICCS Springer, 2019
Recommended citation: Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection[C]//2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115. https://link.springer.com/chapter/10.1007/978-3-030-22741-8_8
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection
Published in TrustCom/BigDataSE IEEE, 2019
Recommended citation: Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 120-127. https://ieeexplore.ieee.org/document/8887381
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
Published in TrustCom/BigDataSE IEEE, 2019
Recommended citation: Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu: Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 312-318. https://ieeexplore.ieee.org/abstract/document/8887382
Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis
Published in Security & Privacy, 2021
Recommended citation: Chen Y, Yao Y, Wang X F, et al. Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis[C]. Security & Privacy, 2021. https://www.computer.org/csdl/pds/api/csdl/proceedings/download-article/1t0x9Hqia1G/pdf
talks
Talk 1 on USENIX Security
Published:
Coming soon.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.