On February 24^th, 2025 at 2.00 pm Davide Galli, PHD Student in Information Technology, will hold a seminar on "Towards robust AI segmentation at the edge" at DEIB 2A Room (Building 20).

Side-channel attack (SCA) poses a significant security risk for modern computing platforms, particularly in resource-constrained IoT devices where sensitive data is processed. Developing SCA-resistant systems demands substantial effort during the design phase, often hampered by time-to-market pressures and budget limitations.
This seminar introduces the challenges of SCA in embedded systems and the need for robust side-channel trace segmentation. We will explore various segmentation methodologies currently employed, leveraging hardware-software co-design, traditional signal processing techniques and novel AI frameworks. We will explore how AI can enable the development of robust segmentation techniques that are resilient to data drift, noise, variations in operating conditions, and other real-world impairments, ultimately leading to more effective SCA attacks and countermeasures.