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FRFraunhofer-Gesellschaft

Student Assistant in the Field of LLM Security(m/w/x)

Darmstadt
Part-timeWorking StudentWith Home Office
AI/ML

Developing methods for LLM security, defending against backdoor attacks and jailbreaks, evaluating robustness against novel attack scenarios. Very good Python skills and enrolled student status in CS/Data Science required. Collaboration on scientific papers, opportunity for bachelor's/master's thesis.

Requirements

  • Very good Python skills
  • Basic understanding of AI/ML (transformers)
  • Desirable experience with Pytorch and transformer architectures
  • Good English skills
  • Enrolled student (Computer Science, Data Science, Mathematics or similar)
  • Structured, independent working style and teamwork ability
  • Strong analytical thinking

Tasks

  • Develop methods for LLM security
  • Defend against common LLM attacks
  • Counter backdoor attacks and jailbreaks
  • Systematically evaluate LLM robustness
  • Assess against established and novel attack scenarios
  • Evaluate against backdoor, divergence, and membership inference attacks
  • Investigate, apply, and evaluate post-hoc explainability methods
  • Analyze model behavior with explainability methods
  • Understand underlying attack mechanisms
  • Analyze defense strategy effectiveness and limitations

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • AI/ML
  • transformers
  • Pytorch

Benefits

Flexible Working

  • Flexible working hours

Other Benefits

  • Practical experience
  • Valuable contacts in research
  • Collaboration on scientific papers
  • Opportunity to write bachelor's or master's thesis
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