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Attacks Against Machine Learning Models
Overview
This course will cover the topic of attacks against machine learning models
- Privacy
- Membership inference
- Dataset reconstruction
- Attribute inference
- Security
- Backdoor
- Model stealing
- Safety
- Hijacking
- Toxicity
Prerequisites
- Basic knowledge of machine learning and data mining
- A security background is not needed
Logistics
Location: Lecture hall, CISPA Building, E9 1
Lecturer: Yang Zhang
TAs: Yixin Wu, Xinyue Shen, Yiting Qu
Contact: yixin.wu@cispa.de
Time: Monday 14:00 - 15:30
Schedule
Grading
The course will be graded by 100% via oral exam.
Note that students who have taken the advanced lectures
- Machine Learning Privacy
- Privacy Enhancing Technologies (2018-2021)
cannot take this one due to the significant overlap between them.