Internship Research / Limiting Information Leakage in LLM-Based Systems for Network Applications
Inria · Palaiseau
Research instituteonsiteinternshipGratification
At a glance
Highlights
- Study how LLM systems handle user requests with sensitive data.
- Model information flows and measure privacy leakage formally.
- Design mechanisms that cut leakage for network applications.
Ideal candidate
Research-minded student passionate about LLM privacy and data minimization, eager to formalize problems and prototype leakage-reducing ideas for real network use cases.
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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