Compositional Methods for Utility under Local Privacy Mechanisms

il y a 4 semaines


Palaiseau, Île-de-France INRIA Temps plein

Job Opportunity at INRIA

The Comete project team at the INRIA Saclay Center is seeking a researcher to work on developing methods and software for estimating statistics from data protected with local differential privacy (DP). The goal of this project is to remove the same-mechanism restriction and investigate efficient methods to achieve good precision of the distribution estimation in the scenario in which the mechanisms and/or the level of noise are very different from each other.

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

Required Skills

  • PhD in Computer Science on topics that require expertise in anonymization techniques
  • Knowledge of data anonymization methodology
  • Knowledge of methods for analyzing re-identification risk and associated inference risks, knowledge of measures of data usefulness for statistical analyses
  • Practical knowledge of data analysis languages (R, Python, C++) and database management software (MySQL, etc.)
  • Ability to write scientific papers
  • Ability to monitor methodologies
  • Rigor, good organization, sense of priorities, autonomy
  • Mathematical skills
  • Teamwork skills

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 (sick children, moving home, etc.)
  • 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

According to profile



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