Topics in Data Privacy
CS-580T-1
Binghamton University
- Semester
- Summer 2024
- Instructor
- Ding Ding
- Start Date
- 07-08-2024
- Total Credits
- 3
- Call to Register
- 607-777-6088
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
This course will explore both threats to privacy and solutions to the data privacy problem. In the first half of the course, we will demonstrate that traditional approaches to protecting privacy, such as anonymization, are subject to powerful attacks that reveal individuals’ sensitive data. We will cover more recent approaches for protecting privacy, including k-anonymity and l-diversity. We will also discuss a variety of privacy enhancing technologies such as secure multi-party computation, zero-knowledge proofs, homomorphic encryption and Tor. The second half of the course will focus on the current de facto standard for data privacy—differential privacy (DP). We will cover fundamentals of DP, including its formal definitions, composition theorems and basic algorithms to satisfy DP. We will also cover the local model of DP which is used by industry to collect sensitive data from users
Course Area: Computer Science
Level: Graduate
Dates: 07-08-2024 - 08-09-2024
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- Instructor: Ding Ding
- Local Course ID: 24SU_BIN_CS580T_01
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