Reverse engineering deep learning algorithms

• المؤلف الرئيسي: Muhammad Irfan Bin Norizzam
• مؤلفون آخرون: Lam Siew Kei
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175058

Cybersecurity concerns surrounding edge Field Programmable Gate Arrays (FPGA) accelerators hosting deep neural network (DNN) architectures have become increasingly prominent due to the vulnerability of such systems to side-channel reverse engineering attacks (SCAs). In this report, we present inn...