Privacy Enhancing Technologies

 

Overview

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This course will cover the topic of data privacy from four aspects.

• Social network privacy
• Location privacy
• Machine learning privacy
• Differential privacy

 

Prerequisites

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• Basic knowledge of machine learning and data mining
• Python
• Security background is not needed

 

Logistics

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Location: Online via Zoom

Lecturers: Yang Zhang

Assistants: Xinlei He (xinlei.he@cispa.de), Zheng Li (zheng.li@cispa.de), Rui Wen (rui.wen@cispa.de)

Time: Wednesday 12:30 - 14:00

Contact: Rui Wen (rui.wen@cispa.de)

Office hour: Tuesday, 13:30-16:30; Friday, 13:30-16:30, 3.19 (Please send email for an appointment beforehand!)

 

Schedule

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- April 21st, Social Network Privacy: Attributes Inference

- April 28th, Social Network Privacy: Graph De-anonymization and New Communication Means

- May 5th, No lecture

- May 12th, PyTorch Q&A (Xinlei He and Zheng Li)

- May 19th, Machine Learning Privacy: Membership Inference

- May 26th, Machine Learning Privacy: Dataset Reconstruction

- June 2nd, Machine Learning Privacy: Attribute Inference

- June 9th, Machine Learning Privacy: Graph Neural Networks

- June 16th, No Lecture

- June 23rd, Location Privacy: Unicity, Attribute Inference, and Location Inference

- June 30th, Differential Privacy 1

- July 7th, Differential Privacy 2

- July 14th, Q&A

Grading

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The course will be graded by 50% oral exam and 50% semester project.

Exam