Fraunhofer-Gesellschaft
Masterarbeit: Aktuelle Backdoor Detektionsverfahren angreifen(m/w/x)
Full-timeInternshipOn-siteExperienced
Darmstadt
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FRFraunhofer-Gesellschaft
Master's Thesis: Attacking Current Backdoor Detection Methods(m/w/x)
Darmstadt
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Researching and implementing novel ML approaches for LLM security, evaluating current backdoor detection methods. Good Python skills, especially PyTorch, required; ML security knowledge a plus. Independent work schedule.
Requirements
- Knowledge in Machine Learning, transformer architectures
- Desirable knowledge in ML security
- Good Python skills, especially PyTorch
- Scientific interest, interest in current research projects
Tasks
- Research novel ML approaches for LLM security
- Implement novel ML approaches for LLM security
- Critically evaluate obtained results
- Present research results
- Prepare a master's thesis project report
- Develop models, datasets, or finetuning adapters
- Test models, datasets, or finetuning adapters
- Ensure reliable bypass of detection methods
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- transformer architectures
- ML security
- Python
- PyTorch
Benefits
Flexible Working
- Independent work schedule
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Master's Thesis: Attacking Current Backdoor Detection Methods(m/w/x)
Darmstadt
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Researching and implementing novel ML approaches for LLM security, evaluating current backdoor detection methods. Good Python skills, especially PyTorch, required; ML security knowledge a plus. Independent work schedule.
Requirements
- Knowledge in Machine Learning, transformer architectures
- Desirable knowledge in ML security
- Good Python skills, especially PyTorch
- Scientific interest, interest in current research projects
Tasks
- Research novel ML approaches for LLM security
- Implement novel ML approaches for LLM security
- Critically evaluate obtained results
- Present research results
- Prepare a master's thesis project report
- Develop models, datasets, or finetuning adapters
- Test models, datasets, or finetuning adapters
- Ensure reliable bypass of detection methods
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- transformer architectures
- ML security
- Python
- PyTorch
Benefits
Flexible Working
- Independent work schedule
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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