Physical security of deep learning on edge devices : comprehensive evaluation of fault injection attack vectors

• Main Authors: Hou, Xiaolu, Breier, Jakub, Jap, Dirmanto, Ma, Lei, Bhasin, Shivam, Liu, Yang
• Other Authors: Temasek Laboratories @ NTU
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering::Hardware::Performance and reliability; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Fault Attack; Neural Network
• Online Access: https://hdl.handle.net/10356/156095
• Institution: Nanyang Technological University

Decision making tasks carried out by the usage of deep neural networks are successfully taking over in many areas, including those that are security critical, such as healthcare, transportation, smart grids, where intentional and unintentional failures can be disastrous. Edge computing systems are b...