#NCSU RECORDED LECTURES SOFTWARE#

The content and due dates of these assignments will be decided over Homework assignments require the students to write, program, or perform other basic Periodic basis for topics associated with the class syllabus. Grade Point Average) describes the grade point interpretation of The course will consist of exams, home assignments (worst graded one will be dropped) and a course project.

#NCSU RECORDED LECTURES SOFTWARE#

Compare and contrast users' attitudes and perceptions of privacyįollowing software will be required/used for the course.Compute statistical parity for machine learning models.Design privacy-preserving federated learning.Demonstrate privacy attacks on machine learning models.Explain how anonymous communication networks work and how they help users preserve their online anonymity.Contrast different online tracking techniques.Distinguish and filter online tracking traffic.Apply private information retrieval (PIR) scheme.Generate differentially private responses.Apply techniques to anonymize personally identifiable information (PII) in.Consumer Privacy and Data Protectionīy the end of this course, students will be able to: Research Methods in Human-Computer Interaction Carmela Troncoso Privacy and Online Rights.Here are some useful online books that provide additional information: Slides will serve as the main reading resource summarizing the lecture content. The course readings will come from onlineīook chapters, seminal papers, and other informative sources. Usable privacy: perceptions of privacy, privacy attitudes, privacy preferences.Privacy acts: privacy regulations, frameworks and compliance/auditing tools.Side-channel threats: Emerging side-channel attacks.Opportunities and implications of using AI/ML in privacy.Online privacy: online tracking and anonymous communication systems.Data privacy: the motivations for data privacy and common implementations (e.g., k-anonymity, differential privacy).By the end of the course, students will learn about the following areas in privacy: This course will expose students to many of the issues that privacy engineers, program managers, researchers and designers deal with in the industry. This course introduces privacy in a broad sense to provide students an overview of the challenging and emerging research topics in privacy. Many times such personal information is inappropriately collected, used or shared, often without our awareness. We interact and share our personal information with a wide variety of organizations, including financial and healthcare institutions, web service providers and social networks. Privacy is a growing concern in our modern society. Regarding these prerequisites, please contact the instructor. If you do not have a basic understanding of theseĪreas, you may have difficulty with certain parts of the course. Informal: You need to have some understanding on (1) basic concepts on statistics and probability and (2) basics of systems implementation (e.g., web, distributed systems, Prerequisites: CSC 316 (ST 370 is recommended) We will use Piazza for our online communication.Īlso, video recording of class lectures will be available through Panopto. You can find the class schedule and all slides from the lectures here. Videos will be uploaded after each lecture on Panopto Wednesday: 2-3 pm, Zoom or by appointmentĬlass discussion will take place on Piazza.CSC 433 - Privacy in the Digital Age, Spring 2023

Ncsu recorded lectures