Intern/Master Thesis - Privacy and Security for Large Language Models(m/w/x)

Description

You will drive innovation in the Data Protection Lab by developing novel algorithms and LLM-based solutions that ensure data security while rigorously documenting your research findings.

Requirements

• •Enrollment in Computer Science, Mathematics, Engineering, Physics, or related field
• •Knowledge and experience in machine learning and deep learning
• •Programming skills in Python and one deep learning framework
• •Experience with vision, NLP tasks, and large language models
• •Proactive mindset and willingness to take initiative
• •Fluent written and spoken English
• •Knowledge of privacy and security aspects of LLMs (plus)
• •Experience setting up and evaluating AI agents (plus)

Tasks

• •Review prior research on relevant topics
• •Develop novel algorithms for privacy-preserving LLMs
• •Create LLM-based solutions for privacy and security issues
• •Implement methods on public and industrial datasets
• •Empirically evaluate developed methods
• •Document findings and results with rigor

Tools & Technologies

Benefits