Internship Investigating Security Vulnerabilities in Federated Computer Vision

1 maand geleden


Den Haag, Zuid-Holland, Nederland TNO Voltijd

About this Research Opportunity

TNO is seeking a highly motivated student to join our Intelligent Imaging department and contribute to the development of secure federated learning algorithms for computer vision applications. As a research intern, you will work closely with our team of experts to explore the vulnerabilities of current state-of-the-art algorithms in terms of inversion attacks.

Key Responsibilities

  • Conduct a literature study to understand the current state-of-the-art of inversion attacks approaches on FL systems
  • Investigate weaknesses in current implementations and explore solutions to improve protection of a FL system against inversion attacks
  • Collaborate with our team to develop and test new algorithms and techniques

Requirements

  • Master's degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a related field
  • Experience in computer vision, artificial intelligence, deep learning, and Python programming
  • Strong research and analytical skills

What We Offer

  • A highly professional and innovative internship environment
  • A suitable internship allowance
  • Possibility of eight hours of free leave per internship month
  • A free membership of TNO's employee network
  • Use of a laptop
  • An allowance for travel expenses


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