Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/153409| Title: | WaC : first results on practical side-channel attacks on commercial machine learning accelerator | Authors: | Won, Yoo-Seung Chatterjee, Soham Jap, Dirmanto Basu, Arindam Bhasin, Shivam |
Keywords: | Science::Mathematics::Discrete mathematics::Cryptography Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
Issue Date: | 2021 | Source: | Won, Y., Chatterjee, S., Jap, D., Basu, A. & Bhasin, S. (2021). WaC : first results on practical side-channel attacks on commercial machine learning accelerator. 5th Workshop on Attacks and Solutions in Hardware Security (ASHES '21), 111-114. https://dx.doi.org/10.1145/3474376.3487284 | Project: | NRF2018NCR-NCR009-0001 | metadata.dc.contributor.conference: | 5th Workshop on Attacks and Solutions in Hardware Security (ASHES '21) | Abstract: | 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 practical electromagnetic side-channel attack on NCS2, allowing secret weight recovery from executed models | URI: | https://hdl.handle.net/10356/153409 | DOI: | 10.1145/3474376.3487284 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | Temasek Laboratories | Rights: | © 2021 Association for Computing Machinery. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
| Appears in Collections: | EEE Conference Papers TL Conference Papers |
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.