Privacy Aware Computing Coursework - Georgia State University

Course Information

Course Title: Privacy Aware Computing
Institution: Georgia State University (GSU)
Term: [Fall 2024]
Instructor: [Zhipeng Cai]

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Overview

This repository documents the coursework completed for the Privacy Aware Computing course. The course covers theoretical and practical aspects of preserving privacy in computing systems, including privacy-enhancing technologies, legal frameworks, and ethical considerations.

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Learning Objectives

The key learning outcomes of the course include:

• Understanding foundational concepts of privacy in computing.
• Designing systems and algorithms that respect user privacy.
• Applying privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption).
• Evaluating trade-offs between privacy, utility, and security.
• Familiarizing with laws and regulations (e.g., GDPR, CCPA) related to data privacy.

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Coursework Structure

Assignments

• Analytical tasks to assess privacy risks in real-world systems.
• Practical implementation of privacy-preserving algorithms.

Projects

• Capstone Project: Focused on designing a privacy-aware application or analyzing privacy risks in an existing system.
  • Examples: Developing a differential privacy mechanism or implementing secure multi-party computation.

Exams

• Midterm and final exams to test conceptual understanding and application of privacy-aware principles.

Class Discussions

• Participation in discussions on contemporary topics such as AI ethics, surveillance, and the trade-offs between privacy and functionality.

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Tools and Technologies

This coursework utilized the following tools and technologies:

• Programming Languages: Python, Java
• Libraries and Frameworks: PySyft, TensorFlow Privacy
• Cloud Platforms: AWS for secure data storage and computation
• Encryption Tools: OpenSSL, PyCryptodome

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Key Deliverables

• Completed assignments and implementation scripts.
• Capstone project documentation and source code.
• Research paper or case study on privacy regulations.
• Exam preparation materials and class notes.

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Contact

For any questions about this coursework, feel free to reach out:

• Name: [Salil Dinesh Apte]
• Email: [salil.apte99@gmail.com]
• LinkedIn: [https://www.linkedin.com/in/salil-apte1112/]

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Acknowledgments

Special thanks to the instructor and classmates for fostering a collaborative and insightful learning environment.