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Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Computer Science and Computer Engineering Undergraduate Honors Theses
The purpose of this thesis is to analyze the usage of multiple image blurring techniques and determine their effectiveness in combatting facial detection algorithms. This type of analysis is anticipated to reveal potential flaws in the privacy expected from blurring images or, rather, portions of images. Three different blurring algorithms were designed and implemented: a box blurring method, a Gaussian blurring method, and a differential privacy-based pixilation method. Datasets of images were collected from multiple sources, including the AT&T Database of Faces. Each of these three methods were implemented via their own original method, but, because of how common they …
Unicorn Framework: A User-Centric Approach Toward Formal Verification Of Privacy Norms, Rezvan Joshaghani
Unicorn Framework: A User-Centric Approach Toward Formal Verification Of Privacy Norms, Rezvan Joshaghani
Boise State University Theses and Dissertations
In the development of complex systems, such as user-centric privacy management systems with multiple components and attributes, it is important to formalize the process and develop mathematical models that can be utilized to automatically make decisions on the information sharing actions of users. While valuable, the current state-of-the-art models are mostly based on enterprise/organizational privacy perspectives and leave the main actor, i.e., the user, uninvolved or with limited ability to control information sharing actions. These approaches cannot be applied to a user-centric environment since user privacy policies are dynamic because they change based on the information sharing context and environment. …