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Student Assistant in the Field of LLM Security(m/w/x)
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
- English – Business 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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Student Assistant in the Field of LLM Security(m/w/x)
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
- English – Business 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
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
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