WaC : first results on practical side-channel attacks on commercial machine learning accelerator

• Main Authors: Won, Yoo-Seung, Chatterjee, Soham, Jap, Dirmanto, Basu, Arindam, Bhasin, Shivam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Science::Mathematics::Discrete mathematics::Cryptography; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Machine Learning Accelerator; Intel Neural Compute Stick 2
• Online Access: https://hdl.handle.net/10356/153409
• Institution: Nanyang Technological University

Commercial machine learning accelerators like Intel neural Compute Stick 2 (NCS2) enable efficient inference on otherwise low resource edge devices. However, these accelerators are also ex- posed to new threats leveraging physical access. In this paper, we present the first results demonstrating pra...