Internship Investigating Security Vulnerabilities in Federated Computer Vision
1 maand geleden
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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