Henry Clausen bio photo

Henry Clausen

I am a PhD-graduate from the University of Edinburgh. I am currently working on Windows process data for the Alan Turing Institute, 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}
    }