| | 1 | [[TOC(Other/Summer/2022/RC/*, depth=1, heading=Adversarial Machine Learning Against Voice Assistant Systems)]] |
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| | 3 | = Adversarial Machine Learning Against Voice Assistant Systems = |
| | 4 | **WINLAB Summer Internship 2022** |
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| | 6 | **Group Members:** Matt Kokolus |
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| | 8 | == Project Objective == |
| | 9 | This project aims to study the security of voice assistant systems under adversarial machine learning. Adversarial learning algorithms can generate adversarial audio samples to serve as the input of voice assistant systems, so as to fool the machine learning models in the system. In this project, students will focus on the white-box attack in the digital domain by generating adversarial samples using adversarial machine learning algorithms to attack a speaker recognition system based on X-Vector. The students will learn Python with Tensorflow Library. |
