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Filtering by: Creator McGrath, Daniel Remove constraint Creator: McGrath, Daniel Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • A Decade of Linux Kernel Vulnerabilities, their Mitigation and Open Problems

    Creator:
    Raj, Abhilash
    Abstract:
    The aim of this thesis is to study past 10 years of security vulnerabilities reported against Linux Kernel and all existing mitigation techniques that prevent the exploitation of those vulnerabilities. To systematically study the security vulnerabilities, they were categorized into classes and sub-classes based on their type. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    . Kevin McGrath, Prof. Mike Rosulek and Prof. Joseph Louis for their invaluable comments and review of

  • Enhancing Instructors’ Teaching Experience through Virtualization

    Creator:
    Patil, Ajinkya
    Abstract:
    In the current education environment, many instructors make use of some type of software, such as Visual Studio or a software library like OpenGL, in the classroom. Incorrect setup and configuration on an individual’s own system is a common problem when using these software tools. This thesis explores the difficulty...
    Resource Type:
    Masters Thesis
    Full Text:
    ” CS 462 - PD - Prof. McGrath 27 Our original assumption/hypothesis about instructors

  • Diagramming practices in open source software development

    Creator:
    Chung, Eunyoung
    Abstract:
    Visual information presented in diagrams promotes information processing both in an individual and in collaborative work. Previous literature has identified the role of diagrams in understanding information processing in a variety of disciplines. In software engineering, diagrams are a prevalent method involved in process development: diagrams are used for system...
    Resource Type:
    Masters Thesis

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    which we could not have proceeded; Kevin McGrath, for keeping me in the PhD program; Forrest Briggs

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation