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Filtering by: Graduation year 2023 Remove constraint Graduation year: 2023 Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Level Master's Remove constraint Degree Level: Master's

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  • SpotFinder

    Creator:
    Dhume, Shreya
    Abstract:
    SpotFinder is the mobile frontend of a parking system that helps drivers find a parking spot on campus. (The backend piece of the parking system was developed by others in the lab as part of a previous project.) Finding parking can be viewed as both a search problem and a...
    Resource Type:
    Capstone Project
    Full Text:
    of Science in Computer Science Presented August 25, 2023 Commencement 2023 ABSTRACT OF THE

  • Awgsome Fault Injection: In-Depth Analysis of Waveform Generation for Voltage Glitches

    Creator:
    Lyakhov, Stanislav
    Abstract:
    Voltage fault injection is a technique to disrupt power supply, such that the data or instruction flow in a microcontroller can be modified. Recently, a new class of voltage glitches was introduced termed arbitrary wave voltage glitches. Despite its demonstrated success in practical studies it comes with additional challenges, such...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on May 31, 2023. Title: Awgsome Fault

  • Staying Consistent: Discipline-Specific Language Used in Introductory CS Curricula

    Creator:
    Weber, Jason
    Abstract:
    The understanding of Discipline-Specific Language is an important competency for students of any field to begin mastering early in their studies, since it serves as a prerequisite for both the analysis of expert text and precise communication. Therefore, an introductory curriculum should pay careful attention to how it incorporates, defines,...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Computer Science presented on June 13, 2023. Title: Staying Consistent

  • LabelFlicks

    Creator:
    Ruangrotsakun, Chalida
    Abstract:
    Using supervised machine learning (ML) to train a computer vision model typically requires human annotators to label objects in images and video. Given a large training dataset, this can be labor intensive, presenting a significant bottleneck in the model-development process. LabelFlicks is an open-source desktop application that aims to address...
    Resource Type:
    Capstone Project
    Full Text:
    of Master of Science in Computer Science Presented September 1, 2023 Commencement 2023 ABSTRACT

  • Systematic Codes for Correcting Deletion/Insertion of One Zero in Each and Every Bucket of Zeros

    Creator:
    Vu, Hoang
    Abstract:
    In this thesis, we propose a systematic code for correcting t = 1 insertion/deletion errors of the character ”0” that can occur between any two consecutive 1’s in a binary string. The code requires balanced input strings, where each word of length n contains ⌈n/2⌉ 0’s and ⌊n/2⌋ 1’s. This...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on September 11, 2023. Title: Systematic

  • Partitioning-Guided K-Means for Effective Empty Cluster Resolution in Extreme Model Compression

    Creator:
    Huang, Tianhong
    Abstract:
    Compactness in deep learning can be critical to a model’s viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (iPQ) with Quant-Noise [Fan et al., 2020] to be state-of-the-art in this area, but this quantization framework suffers from preventable inference...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on May 31, 2023. Title: Partitioning-Guided K

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    Master of Science in Computer Science presented on March 16, 2023. Title: Poisoning Machine Learning

  • HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication

    Creator:
    Puppo, Luke
    Abstract:
    New capabilities in wireless network security are now possible through deep learning, which can identify and leverage patterns in radio frequency (RF) data. One area of deep learning, known as open set detection, is focused on detecting data instances from new devices encountered during deployment that were not previously seen...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Computer Science presented on March 23, 2023. Title: HiNoVa: A Novel Open

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on December 19, 2023. Title: Improving User

  • Engineering Student Perspectives of a New Required Programming Course

    Creator:
    Garcia Ramirez, Jessica
    Abstract:
    We present student perceptions of a new first-year engineering programming class that was designed by informed research practices. While the College of Engineering at Oregon State University saw a lot of major switching in the first year, there were not many students switching into computer science (CS). This could have...
    Resource Type:
    Masters Thesis
    Full Text:
    Garcia Ramirez for the degree of Master of Science in Computer Science presented on December 14, 2023