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云原生作为一种新型的云基础架构,云原生计算基金会(CNCF)致力于培养和维护开源生态系统,并推广云原生技术。
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实习已经结束过去近半年,对于刚入职场时面对的问题、想法有了很多变化,从未来看过去,总结一下。
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依据联邦学习的不同参与方持有数据的特点不同,可以将其分类为横向联邦学习、纵向联邦学习以及联邦迁移学习等。
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持续了近半年的找工作,主要关注做安全和互联网的大厂,最终拿到了自己非常满意的offer,希望通过此面经能帮到优秀的你!
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在网络流量中恶意行为分析与发现研究领域,已发表相关学术论文7篇(IIE-B类2篇,IIE-C类5篇),其中一作3篇,先汇总相关研究如下。
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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
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生成对抗网络分解:可视化和理解生成对抗网络(GAN dissection: visualizing and understanding generative adversarial networks)
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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。
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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
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
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
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
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
Published in USENIX Security, 2021
Recommended citation: Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu. Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications[C]. USENIX Security. 2021 http://academicpages.github.io/files/evil.pdf
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Coming soon.
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I provide a talk on USENIX Security 2021 online about the paper “Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications”. Here is the talk.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.