Now showing items 1-6 of 6

    • Digital Signature Scheme Variations 

      Dunbar, Fiona (University of Waterloo, 2002)
      A digital signature scheme is the process of signing an electronic message that can be transmitted over a computer network. Digital signatures provide message authentication that can be proved to a third party. With ...
    • Efficient Inference of Transformers in Natural Language Processing: Early Exiting and Beyond 

      Xin, Ji (University of Waterloo, 2023-01-24)
      Large-scale pre-trained transformer models such as BERT have become ubiquitous in Natural Language Processing (NLP) research and applications. They bring significant improvements to both academia benchmarking tasks and ...
    • Efficient Zero-Knowledge Proofs and Applications 

      Henry, Ryan (University of Waterloo, 2014-08-12)
      Zero-knowledge proofs provide a means for a prover to convince a verifier that some claim is true and nothing more. The ability to prove statements while conveying zero information beyond their veracity has profound ...
    • Modelling Issues in Three-state Progressive Processes 

      Kopciuk, Karen (University of Waterloo, 2001)
      This dissertation focuses on several issues pertaining to three-state progressive stochastic processes. Casting survival data within a three-state framework is an effective way to incorporate intermediate events into an ...
    • Regularization Using a Parameterized Trust Region Subproblem 

      Grodzevich, Oleg (University of Waterloo, 2004)
      We present a new method for regularization of ill-conditioned problems that extends the traditional trust-region approach. Ill-conditioned problems arise, for example, in image restoration or mathematical processing of ...
    • Topics in Study Design and Analysis Involving Incomplete Data 

      Yang, Ce (University of Waterloo, 2021-07-27)
      Incomplete data is a common occurrence in statistics with various types and mechanisms such that each can have a significant effect on statistical analysis and inference. This thesis tackles several statistical issues in ...

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