Thomas Thebaud

Thomas Thebaud

Currently transitioning from the Johns Hopkins University, USA to the AMIAD, FR. I work on speech technologies, AI, and security, with a focus on speech anonymization, deepfake detection, speech-aware large language models, and speaker recognition. My research explores trustworthy and privacy-preserving speech processing, as well as national and international collaborations.

Explore Machine Learning solutions for Security (EN.500.111.03 & EN.500.111.22)

Undergrad Course, Johns Hopkins University, ECE, 2023

I served as the instructor for Explore Machine Learning Solutions for Security for undergraduate students in the Whiting School of Engineering in Fall 2023. The one-credit course met once per week and was taught to two groups of 10 students.

The course provided a practical introduction to machine learning with Python. Through real-world examples, coding exercises, and a guided group project, students implemented techniques for authentication and attack detection. The course was offered through the HEART program, which enables postdoctoral fellows and PhD students to design and teach courses to small groups of students.