Category: Defense
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PhD defense: Prajit Das, Context-dependent privacy and security management on mobile devices
Ph.D. Dissertation Defense Context-dependent privacy and security management on mobile devices Prajit Kumar Das 8:00-11:00am Tuesday, 22 August 2017, ITE325b, UMBC There are ongoing security and privacy concerns regarding mobile platforms which are being used by a growing number of citizens. Security and privacy models typically used by mobile platforms use one-time permission acquisition mechanisms.…
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PhD Defense: Bryan Wilkinson, Identifying and Ordering Scalar Adjectives using Lexical Substitution
Ph.D. Dissertation Defense Identifying and Ordering Scalar Adjectives using Lexical Substitution Bryan Wilkinson 1:00pm Friday, 18 August 2017, ITE 325b, UMBC Lexical semantics provides many important resources in natural language processing, despite the recent preferences for distributional methods. In this dissertation we investigate an under-represented lexical relationship, that of scalarity. We define sclarity as it…
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PhD Defense: The Lightweight Virtual File System
Dissertation Defense The Lightweight Virtual File System Navid Golpayegani 10:00-12:00 Thursday, 20 July 2017, ITE 325, UMBC A data center today is responsible for safely managing big data volumes and balancing the complex needs between data producers and consumers. This balance often involves reconciling the needs of easy access and rapid retrieval in ways…
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PhD defense: Deep Representation of Lyrical Style and Semantics for Music Recommendation
Dissertation Defense Deep Representation of Lyrical Style and Semantics for Music Recommendation Abhay L. Kashyap 11:00-1:00 Thursday, 20 July 2017, ITE 346 In the age of music streaming, the need for effective recommendations is important for music discovery and a personalized user experience. Collaborative filtering based recommenders suffer from popularity bias and cold-start which is…
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PhD Proposal: Analysis of Irregular Event Sequences using Deep Learning, Reinforcement Learning & Visualization
Analysis of Irregular Event Sequences using Deep Learning, Reinforcement Learning, and Visualization Filip Dabek 11:00-1:00 Thursday 13 July 2017, ITE 346, UMBC History is nothing but a catalogued series of events organized into data. Amazon, the largest online retailer in the world, processes over 2,000 orders per minute. Orders come from customers on a recurring…
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PhD defense: ACCESS: Adaptive Contactless Capacitive Electrostatic Sensing System
Dissertation Defense ACCESS: An Adaptive Contactless Capacitive Electrostatic Sensing System Alexander Nelson 10:30-12:30 Thursday, 13 July 2017, ITE 325, UMBC Technological miniaturization and low-power systems have precipitated an explosive growth in capability and adoption of wearable sensors. These kinds of sensors can be applied to many medical and rehabilitative applications, including as an assistive interface.…
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Attacking and Defending the Automotive CAN Bus
MS Thesis Defense Attacking and Defending the Automotive CAN Bus Jackson Schmandt 12:30pm Thursday, 8 December, 2016, ITE 325b, UMBC The scope and complexity of Automotive Computer Networks have grown drastically in the last decade. Once present only in high end vehicles, multi-use infotainment systems are now included in base models of some economy vehicles.…
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PhD defense: Deep Neural Networks in Real-Time Embedded Systems
PhD Dissertation Defense Deploying Deep Neural Networks in Real-Time Embedded Systems Adam Page 10:00am Monday, 21 November 2016, ITE 325b Deep neural networks have been shown to outperform prior state-of-the-art solutions that rely heavily on hand-engineered features coupled with simple classification techniques. In addition to achieving several orders of magnitude improvement, they offer a number…
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Dissertation defense: Cross-Layer Techniques for Boosting Base-Station Anonymity in Wireless Sensor Networks
Dissertation Defense Announcement Cross-Layer Techniques for Boosting Base-Station Anonymity in Wireless Sensor Networks Sami Alsemairi 9:30 Wednesday, 9 November 2016, ITE 346 Wireless Sensor Networks (WSNs) provide an effective solution for surveillance and data gathering applications in hostile environments where human presence is infeasible, risky or very costly. Examples of these applications include military reconnaissance,…
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Omar Shehab PhD defense: Solving Mathematical Problems in Quantum Regime, 7/7
Omar Shehab defends his dissertation, Solving Mathematical Problems in Quantum Regime, at 2pm Thursday, 7 July 2016, in ITE 325b at UMBC