Internship | Mitigation of inversion attacks in Federated Learning

Internship and graduation project Den Haag Master Fulltime – 40

Internship | Mitigation of inversion attacks in Federated Learning

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About this position

Federated learning (FL) is a hot research topic enabling training on databases of multiple organizations while preserving the privacy of people whose personal data is stored in the databases. FL supports sharing of deep learning (DL) models between the different organizations during the training process without sharing personal data. Training the DL models in a federated way can significantly boost the performance since you indirectly have access to more data. Initially, it was assumed that it is safe to share DL models between multiple organizations, but research has shown that the original data used for training can be recovered from them, which is called an inversion attack. The aim of the project is to explore the vulnerabilities of the current state-of-the-art algorithms for FL in terms of inversion attacks.

What will be your role?

Your role will be to enhance privacy by exploring vulnerabilities related to inversion attacks and – when possible – mitigate these vulnerabilities. The activities include performing a literature study to understand the current state-of-the-art, finding the weaknesses of current solutions, proposing a new solution, implementing the solution, performing experiments to show that the solution is better than the current state-of-the-art, writing a master thesis, and optionally a scientific paper.You will perform this assignment within TNO’s Intelligent Imaging department. The Intelligent Imaging department is a passionate, creative, and dedicated team of professionals (50 people) specialized in developing groundbreaking applications in the field of computer vision. Our team members have diverse backgrounds, ranging from physics to artificial intelligence. Intelligent Imaging is a young and growing department which has built up a lot of expertise over the past years in AI and deep learning.Keywords for this project include: Artificial Intelligence, Privacy, Deep Learning, Federated Learning.

What we expect from you

You are in the final stages of your master's in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a similar field. You have some experience in computer vision, artificial intelligence, deep learning and Python programming.The duration of the graduation project or internship is 6 to 9 months. Please mention in your application whether you are looking for an internship or a graduation project, the preferred duration of your project and your desired starting date.

What you'll get in return

You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:

• A highly professional, innovative working environment, with top experts as colleagues.
• A suitable internship allowance (615 euro for wo- and hbo-students, 390 euro for mbo-students, for a full-time internship).
• Eight hours of leave per internship month (for a full-time internship).
• A free membership of Jong TNO, where you can meet TNO-colleagues and join several activities, such as sports activities, (work-related) courses or the yearly ski-trip.
• Use of a laptop.
• An allowance for travel expenses in case you don’t receive an OV-card.

TNO as an employer

At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity and inclusion.

The selection process

After the first CV selection, the application process will be conducted by the concerning department. TNO will provide a suitable internship agreement. If you have any questions about this vacancy, you can contact the contact person mentioned below.Important to be aware of before applying:

• As stated in the internship policy, TNO doesn’t sign contracts from educational institutions. Before the start of the internship, the internship agreement from TNO needs to be signed, by the intern, TNO and the educational institution. This agreement is established in cooperation with Universiteiten van Nederland according to the UNL-template. If you are not a student at a Dutch college or university, or if you are a mbo-student, the TNO internship agreement will apply. In that case, a ‘proof of educational institution’ and a ‘proof of internship as part of course’ is needed instead of a signature from the educational institution.
• Furthermore, you have to be registered at an educational institution to be eligible to do a paid internship at TNO. If you are not studying at a university you are only eligible for a work experience internship (unpaid, maximum of 8 weeks).
• Interns at TNO must be in possession of a Dutch residential address at the start of the internship. It is not possible to work from abroad.

Has this job opening sparked your interest?

Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.

Apply now

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More information about this vacancy?

Pieter Piscaer

• [email protected]