Master's Thesis: Adversarial attacks against point cloud based machine learning

Safe Intelligence - this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable and verifiably safe. We consider resilience and intelligence to be part of the same process.

What you will do

The purpose of the thesis is to research, develop and implement an approach for adversarial attacks against point cloud-based Machine Learning (ML), that constitutes the foundation of 3D object detection based on sensing technology such as Lidar or Radar. Current 3D deep models are crucial in several industrial and automotive applications, however research on the robustness and the failure modes of those models has not seen as much attention as 2D object detection. With this thesis, the candidate will have to explore the existing literature on the subject of adversarial attacks against deep 3D models and based on that, work on a novel approach to find the pitfalls of current top-performing algorithms.

What you bring to the table

• Solid background in math, statistics, and machine learning
• Solid programming skills (Python mandatory, C++ appreciated)
• Master’s student in a STEM 
• Analytical and structured mindset
• Understanding of machine learning approaches in the field of object detection
• Good knowledge of the English language is mandatory.

What you can expect

• Participation in a dynamic and international team with innovative task areas
• Working in an academic environment towards industrial applications.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

Additional questions will be answered gladly by
Francesco Carella, francesco.carella@iks.fraunhofer.de
If you got further questions, please contact our colleagues from HR via eMail: recruiting@iks.fraunhofer.de

Fraunhofer Institute for Cognitive Systems IKS 

www.iks.fraunhofer.de 

Requisition Number: 72168                Application Deadline: