Statistical Estimation Methods for Personalized Local Differential Privacy

il y a 4 semaines


Palaiseau, Île-de-France INRIA Temps plein

Job Description

The Inria Saclay Center is seeking a researcher to join the COMETE project team, specializing in security and privacy protection. The successful candidate will work with the team to develop methods and software for estimating statistics from data protected with local differential privacy (DP).

Classical data analysis methods assume that all users apply the same privacy mechanism and parameters. However, local DP allows users to use different mechanisms and settings, depending on their needs and preferences. The goal of this project is to remove the same-mechanism restriction and investigate efficient methods for achieving good precision of distribution estimation in scenarios with different mechanisms and/or noise levels.

Main Responsibilities

  • Collaborate with the research team to develop efficient methods for statistical estimation from data protected by personalized local DP
  • Develop programs based on the above methods
  • Conduct experiments on real and synthetic data
  • Write documentation and develop demos
  • Write reports and papers

Requirements

The ideal candidate will have a PhD in Computer Science with expertise in anonymization techniques. They should have knowledge of data anonymization methodology, methods for analyzing re-identification risk, and measures of data usefulness for statistical analyses. Practical knowledge of data analysis languages (R, Python, C++) and database management software (MySQL, etc.) is also required. Additionally, the candidate should be able to write scientific papers, monitor methodologies, and work in a team.

Benefits

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural, and sports events and activities
  • Access to vocational training
  • Social security coverage

Salary

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