Henry Clausen bio photo

Henry Clausen

I am a PhD-graduate from the University of Edinburgh. I work as a data scientist for Cloudflare where I build API security systems, and my areas of interest include deep learning, data science, as well as vulnerability and intrusion detection. In my freetime, I like to challenge myself physically in sports such as Jiu-Jitsu, sailing, or running. My passion is electronic music, where I attempt to find my own style.

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My Publications

You can also browse my Google Scholar profile.

Conference Publications

  • H. Clausen, G. Grov, and D. Aspinall
    CBAM: A Contextual Model for Network Anomaly Detection
    Computers 10.6: 79 2021.
    [PDF]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, R. Flood, and D. Aspinall
    Controlling network traffic microstructures for machine-learning model probing
    EAI SecureComm 2021.
    [PDF] [Project Page]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, and D. Aspinall
    Examining traffic microstructures to improve model development
    IEEE S&P workshops, 2021.
    [PDF] [Slides] [Project Page]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, G. Grov, M. Sabate, and D. Aspinall
    Better anomaly detection for access attacks using deep bidirectional LSTMs
    International Conference on Machine Learning for Networking (MLN), Springer, 2020.
    [PDF] [Project Page]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, D. Aspinall, M. S. Gibson
    Evading Stepping-Stone Detection with Enough Chaff
    International Conference on Network and System Security (NSS), Springer, 2020.
    [PDF]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, R. Flood, and D. Aspinall
    Traffic Generation using Containerization for Machine Learning
    DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop at ACSAC conference, 2019.
    [PDF] [Project Page]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    
  • H. Clausen, A.M. Adams, and M. Briers
    Bayesian Activity Modelling for Network Flow Data
    Data Science For Cyber-Security, World Scientific, 2018.
    [PDF] [Project Page]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    

Talks

  • Rmetrics Portfolio Dashboard
    A Portfolio Design and Optimization Environment in R
    Rmetrics Summer Workshop 2015
    [Slides]

    @phdthesis{Pont-Tuset2014,
    author = {Jordi Pont-Tuset},
    title = {Image Segmentation Evaluation and Its Application to Object Detection},
    school = {Universitat {P}olit\`{e}cnica de {C}atalunya, {UPC} {B}arcelona{T}ech},
    year = {2014}
    }
  • Solver Horse Race
    A collaborative project between ETH Zurich and OLZ & Partners, 2015
    [Slides]

    @MastersThesis{Pont-Tuset2009,
    author = {Jordi Pont-Tuset},
    title = {Automatic extraction of the camera point of view in Football scenes},
    school = {Universitat {P}olit\`{e}cnica de {C}atalunya, {UPC} {B}arcelona{T}ech},
    year = {2009}
    }

Other Publications

  • H. Clausen, and D. W├╝rtz
    Portfolio Optimization with R/Rmetrics
    Rmetrics Association & Finance Online Publishing, Zurich, 2015.
    [PDF]

    @article{clausen2018bayesian,
      title={Bayesian Activity Modelling for Network Flow Data},
      author={Clausen, Henry and Briers, Mark and Adams, Niall M},
      publisher={World Scientific}
    }
    

Written Theses

  • M.Sc. thesis
    A Bayesian Approach to Human Behaviour Modelling in Computer Networks
    Imperial College London, 2017
    [PDF]

    @phdthesis{Pont-Tuset2014,
    author = {Jordi Pont-Tuset},
    title = {Image Segmentation Evaluation and Its Application to Object Detection},
    school = {Universitat {P}olit\`{e}cnica de {C}atalunya, {UPC} {B}arcelona{T}ech},
    year = {2014}
    }
  • M.Sc. thesis
    Tri-Criteria Optimization for Scenario-Based Risk Measures
    ETH Zurich, 2015
    [PDF]

    @MastersThesis{Pont-Tuset2009,
    author = {Jordi Pont-Tuset},
    title = {Automatic extraction of the camera point of view in Football scenes},
    school = {Universitat {P}olit\`{e}cnica de {C}atalunya, {UPC} {B}arcelona{T}ech},
    year = {2009}
    }