Creating from noise: trace generations using diffusion model for side-channel attack

• Main Authors: Yap, Trevor, Jap, Dirmanto
• Other Authors: School of Physical and Mathematical Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Neural network; Side-channel attacks
• Online Access: https://hdl.handle.net/10356/173619; https://aihws2024.aisylab.com/
• Institution: Nanyang Technological University

In side-channel analysis (SCA), the success of an attack is largely dependent on the dataset sizes and the number of instances in each class. The generation of synthetic traces can help to improve at- tacks like profiling attacks. However, manually creating synthetic traces from actual traces is ard...