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Filtering by: Creator Fridley, Daniel Seth Remove constraint Creator: Fridley, Daniel Seth Decade 2010-2019 Remove constraint Decade: 2010-2019 Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Identifying and Removing On-chip Network Bottleneck in Throughput Processors

    Creator:
    Li, Yunfan
    Abstract:
    The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we first quantitatively analyze the performance of...
    Resource Type:
    Masters Thesis

  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation

  • Optimizing Cryptographic Obfuscation

    Creator:
    Carmer, Brent
    Abstract:
    Cryptographic obfuscation is a powerful tool that makes programs “unintelligible” yet still runnable. It essentially gives programs the ability to keep secrets. The practical applications of obfuscation range from keeping secrets in banking applications to preventing software theft to providing secure messaging applications. The cryptographic applications of obfuscation are also...
    Resource Type:
    Dissertation
    Full Text:
    was accepted to the 2016 ACM CCS conference and has co-authors Kevin Lewi, Alex J. Malozemoff, Daniel

  • Keeping your Friends Secret: Improving the Security, Effciency and Usability of Private Set Intersection

    Creator:
    Rindal, Peter B.
    Abstract:
    Private set intersection (PSI) allows two parties, who each hold a set of items, to compute the intersection of those sets without revealing anything about other items. Recent advances in PSI have significantly improved its performance for the case of semi-honest security, making semi-honest PSI a practical alternative to insecure...
    Resource Type:
    Dissertation
    Full Text:
    field of Cryptography. • My coauthors which include Hao Chen, Daniel Demmler, Kim Laine, Kristin

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation