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open access

Conditional Disclosure of Secrets and Storage over Graphs

Description: In the era of big data, it is essential to implement practical security and privacy measures to ensure the lawful use of data and provide users with trust and assurance. In the dissertation, I address this issue through several key steps. Firstly, I delve into the problem of conditional secret disclosure, representing it using graphs to determine the most efficient approach for storing and disclosing secrets. Secondly, I extend the conditional disclosure of secrets problem from a single secret … more
Date: December 2023
Creator: Li, Zhou
Item Type: Refine your search to only Thesis or Dissertation
open access

Neural Network Classifiers for Object Detection in Optical and Infrared Images

Description: This thesis presents a series of neural network classifiers for object detection in both optical and infrared images. The focus of this work is on efficient and accurate solutions. The thesis discusses the evolution of the highly efficient and tiny network Binary Classification Vision Transformer (BC-ViT) and how through thoughtful modifications and improvements, the BC-ViT can be utilized for tasks of increasing complexity. Chapter 2 discusses the creation of BC-ViT and its initial use case fo… more
Date: December 2023
Creator: Adams, Ethan Richard
Item Type: Refine your search to only Thesis or Dissertation
open access

On the Fundamental Limits of Secure Summation and MDS Variable Generation

Description: Secure multiparty computation refers to the problem where a number of users wish to securely compute a function on their inputs without revealing any unnecessary information. This dissertation focuses on the fundamental limits of secure summation under different constraints. We first focus on the minimal model of secure computation, in which two users each hold an input and wish to securely compute a function of their inputs at the server. We propose a novel scheme base on the algebraic structu… more
Date: July 2023
Creator: Zhao, Yizhou
Item Type: Refine your search to only Thesis or Dissertation
open access

PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor

Description: PM2.5 particle sensing has been done using surface acoustic wave based sensor for two different frequencies. Due to mass loading and elasticity loading on the sensor's surface, the center frequency of the sensor shifts. The particle concentration can be tracked based on that frequency shift. The fit factor test has been conducted using higher frequency SAW sensor. The consist results has been achieved for particle sensing and fit factor test with SAW based sensor.
Date: May 2023
Creator: Desai, Mitali Hardik
Item Type: Refine your search to only Thesis or Dissertation
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