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  • 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:
    for the degree of Doctor of Philosophy in Computer Science presented on August 16, 2018. Title

  • Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

    Creator:
    Guizani, Mariam
    Abstract:
    Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
    Resource Type:
    Dissertation
    Full Text:
    number of challenges found in that category. For each evidenced challenge the (letter) describes the

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Zahra Iman for the degree

  • Efficient, secure and covert channel capacity bounded protocols for multilevel security cross-domain environments - an experimental system

    Creator:
    Nandakumar Thampi, Archana
    Abstract:
    The communication in MLS cross-domain environments faces many challenges. The three most important challenges are efficient key management, privacy preserving and covert channel. We propose an Efficient, Secure and Covert Channel Capacity Bounded Protocol which has three algorithms that addresses these challenges: The Efficient Attribute-based Fine-Grained Authentication (EAFA) algorithm, Anonymous...
    Resource Type:
    Masters Thesis
    Full Text:
    committee. I thank the members in my group for their technical advice and guidance, and all my friends at

  • Wirelessly Powered cm-Scale Sensor for Small Insect Localization Application

    Creator:
    Kang, Jian
    Abstract:
    The prevalence of Internet-of-Things (IoT) applications leads to an increasing focus on the design and optimization of sensor nodes. Battery lifetime and associated costs of battery replacement often limits the long term operation and viability of sensor nodes. RF wireless energy harvesting on the other hand can be appealing since...
    Resource Type:
    Dissertation
    Full Text:
    -design procedure for optimizing rectifier sensitivity is concluded. Chapter 3 addresses the challenge of

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation
    Full Text:
    to Vinaya Natarajan for being a great friend to me over the years. She virtually played a motherly

  • Learnify : Spotify for Learning

    Creator:
    Dasgupta, Prateek
    Abstract:
    Web-based online learning is seeing great adoption alongside the traditional brick-and-mortar classroom model. Online collaborative applications, tutorials and learning platforms have been a great source of knowledge for users. However, most of these applications do not provide much organizational structure to help guide and motivate users in learning new skills....
    Resource Type:
    Capstone Project
    Full Text:
    In partial fulfillment of the requirements for the degree of Master of Science in Computer

  • 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
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Meghamala Sinha for

  • Architectures and algorithms for dynamic overlay networks

    Creator:
    Abdelwahab, Sherif
    Abstract:
    Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Sherif Abdelwahab for the

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning for Improving the Quality of Citizen