Secure Incremental AI Learning on Embedded Devices

STMicroelectronics; Rousset-Serre-Ponçon; On-site; EUR 11,000 - 17,000; Full time

Job summary

STMicroelectronics is offering a 3 to 6 month internship focused on developing countermeasures to defend AI-based systems against training-phase attacks. You will review current state-of-the-art methods, identify promising approaches, and test robustness on MCU platforms.

Strong knowledge of deep learning, Python, and embedded systems is required, with English proficiency. The role sits within an R&D team for embedded systems security at ST, based in France.

Qualifications

• Master's degree in computer science or related field.
• Knowledge in deep learning.
• Skills in Python and embedded systems.

Responsibilities

• Develop countermeasures and solutions to defend against attacks crafted during the training phase of AI-based systems.
• Conduct a state-of-the-art review of existing approaches and identify promising methods.
• Evaluate robustness and efficiency of proposed solutions on microcontroller-based platforms.

Skills

Deep learning

Python

Embedded systems

Teamwork

Proactivity

English

Education

Master's degree in computer science or related field

Job description

STMicroelectronics is offering a 3 to 6 month internship focused on developing countermeasures to defend AI-based systems against training-phase attacks. You will review current state-of-the-art methods, identify promising approaches, and test robustness on MCU platforms.

Strong knowledge of deep learning, Python, and embedded systems is required, with English proficiency. The role sits within an R&D team for embedded systems security at ST, based in France.