AI Security Intern: Investigating Federated Vision Models
3 weken geleden
About This Position
As a security expert in AI, you will play a crucial role in ensuring the integrity of federated learning models used in computer vision applications. Your primary responsibility will be to investigate vulnerabilities in state-of-the-art algorithms for FL, focusing on gradient inversion attacks. You will conduct a thorough literature study to understand the current state-of-the-art approaches to inversion attacks on FL systems. Additionally, you will identify weaknesses in current implementations and explore solutions to enhance the protection of FL systems against inversion attacks. This project offers a unique opportunity to make a direct impact in the development of automatic document verification, where the proposed solution can enhance the accuracy and security of identity verification.
What We Expect from You
To be successful in this position, you should have a strong background in AI, data security, and advanced machine learning techniques. You will be working within TNO's Intelligent Imaging department, a passionate and dedicated team of professionals specialized in developing groundbreaking applications in the field of computer vision. Our team members have diverse backgrounds, ranging from the medical field to artificial intelligence. You will be expected to work on this assignment for 6-12 months, and your research could make a significant impact in the development of secure FL models.
What You'll Get in Return
As a security expert in AI, you will be part of a highly professional and innovative internship environment within a team of top experts. You will receive a suitable internship allowance, possibility of eight hours of free leave per internship month, and a free membership of TNO's employee association. You will also have the opportunity to work on a project that can enhance the accuracy and security of identity verification, making it a unique and rewarding experience.
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