Pavel Czempin
CS PhD Student
University of Southern California
Biography
Hi There! I’m a PhD student in Computer Science at the University of Southern California. I work at the USC Learning and Interactive Robot Autonomy Lab, advised by Erdem Biyik. I have previously done research at the Center for Human-Compatible AI at UC Berkeley and Fraunhofer AISEC and have a Master’s degree from the Technical University of Munich.
Feel free to reach out, I’m interested in collaborating!
Interests
- Reinforcement Learning from Human Feedback
- Generalization in AI
- Robotics
- Trustworthy AI
Education
PhD in Computer Science (Artificial Intelligence)
University of Southern California
MSc in Computer Science (Artificial Intelligence), 2023
Technical University of Munich
BSc in Engineering Science, 2020
Technical University of Munich
Research Experience
Research Intern
- Mentor: Rachel Freedman
Visiting Student Researcher
- Continued research on defenses against adversarial reinforcement learning policies.
- Research on interpretability for learned reward models.
- In Collaboration with Adam Gleave, Daniel Filan
Research Collaborator
- Research on defenses against adversarial reinforcement learning policies.
- Supervised by Adam Gleave
Research Assistant
- Implemented and compared audio deepfake detection architectures
- Supervised by Nicolas Müller
Publications
(2024).
In-Context Generalization to New Tasks From Unlabeled Observation Data.
In 1st ICL Workshop at ICML 2024.
(2022).
Does Audio Deepfake Detection Generalize?.
In Proc. Interspeech 2022.
(2022).
Reducing Exploitability with Population Based Training.
In AdvML Frontiers at ICML.
(2021).
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?.
In ASVspoof2021.