Federated Computer Vision Security Expert
1 dag geleden
About This Internship
Federated Learning (FL) is a technique that enables AI model training with data from multiple parties without central data storage. However, research has shown that original data can be reconstructed from the model via inversion attacks. This internship at TNO's Intelligent Imaging department focuses on exploring vulnerabilities in current FL algorithms and mitigating these vulnerabilities for computer vision applications.
What You'll Be Doing
As an intern, you'll conduct a literature study to understand current inversion attacks approaches on FL systems. You'll investigate weaknesses in current implementations and explore solutions to improve FL system protection against inversion attacks. Additionally, you may write a scientific paper on the topic.
Your Role in AI Security
You'll be part of a passionate team of professionals developing groundbreaking computer vision applications. Your research could significantly impact the development of automatic document verification, enhancing the accuracy and security of identity verification.
What We're Looking For
We seek a student with a strong background in AI, data security, and advanced machine learning techniques. You'll have some experience in computer vision, AI, deep learning, and Python programming. This is a perfect opportunity for students interested in AI, data security, and advanced machine learning techniques.
What We Offer
TNO offers a highly professional and innovative internship environment, with opportunities for personal and professional growth. You'll be part of a team of top experts and have access to cutting-edge tools and technologies.
- A highly professional internship environment
- A suitable internship allowance for full-time interns
- Possibility of eight hours of free leave per internship month for full-time interns
- A free membership in , with opportunities for networking and professional development
- Use of a laptop
- An allowance for travel expenses
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