Machine Learning Researcher
hace 1 semana
At ID R&D, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity.
Very simply, we know that diversity is a foundational strength for our organization.A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind.
Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.
We are Virtual 1st Whether you choose to work remotely from your home office or in-person from one of ID R&D's offices, our practices, processes and tools are designed to enable your success. At ID R&D, the Future of Work is about flexibility and preference wherever and whenever we are working.
PROJECT ABSTRACT:
Research of Black-Box Adversarial Attacks on Computer Vision Systems.
When someone attempts to fool a face recognition system by using digital image transformations (color distortions, compression, geometric transforms, filters, etc), it's known as a "spoofing" attack.
Facial liveness detection aims to defend against these attacks by verifying that the presented image is not a transformed image or video but is an alive, original photo of the face.
Each transformation incorporates numerous parameters that can't feasibly be iterated over within a practical time frame.To fortify the final ensemble and enhance its resilience, it's crucial to scrutinize all transforms that could potentially pose a threat.
In this project, we propose the construction of a Reinforcement Learning system designed to emulate real-world scenarios for evading machine learning systems.
What you will do:
- Propose a structure for a reinforcement learning system that can simulate realworld scenarios of attempts to evade facial liveness systems. Using the reinforcement learning system, simulate different image transformations, taking into consideration the multiple parameters each transformation can have. Evaluate the performance of the system in detecting these transformations.
- Optimize and Iterate: continuously refine the reinforcement learning system, iterating over different transformations and making adjustments to improve detection effectiveness.
- Prepare a presentation to communicate your findings, showing how the reinforcement learning system enhances the ability of facial recognition systems to defend against spoofing attacks.
Desired studies, skills and experience:
- Some knowledge and experience in computer vision, machine learning, or image processing.
- Good Python3 programming skills.
- Fluency in written and spoken English (you will use it on a daily basis for internal communication).
- Experience in one or more deep learning frameworks: TensorFlow or Pytorch.
- Familiarity with Linux/Docker/Git.
- A willingness to learn and strong communication skills.
- Live within a commutable distance of our office near Barcelona.
What we offer you:
- An internship with a flexible start and duration (between 3 to 5 months), with possibilities of extension (depending on the university agreement and student availability).
- Participate in relevant initiatives, learning and using the latest IT stacks in AI/ML and Computer Vision.
- Be part of a cuttingedge machine learning company (ID R&D) that belongs to one of the global players in the ID verification industry, committed to pushing the boundaries of AI and biometrics. We encourage all our team members to engage in scientific publications based on their work and actively participate in challenges. Our teams were rated in the top 10 for Kaggle Deepfake detection, showcasing our expertise and dedication to excellence.
- Competitive monthly compensation and time flexibility.
We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all at ID R&D is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.
Benefit offerings
-
_ _:
- may vary based on geographic location_
Financial:
retirement plan & company contributions, stock plan participation
Income protection:
life & disability insurance
Paid time off:
generous annual allowance, company holidays, volunteer time off
Learning:
e-learning license, tuition reimbursement, hackathons
Home office setup allowance
**We sincerely appreciate your interest in ID R&D. We know your time is valuable and look forward to the potential of speaking with you further
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