Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images
Main Authors: | Ashok, Maitreyi, Turner, Matthew, Walsworth, Ronald, Levine, Edlyn, Chandrakasan, Anantha |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
ACM
2022
|
Online Access: | https://hdl.handle.net/1721.1/146495 |
Similar Items
-
Hardware Security with Electromagnetic Side Channels
by: Ashok, Maitreyi
Published: (2022) -
Micrometer-scale magnetic imaging of geological samples using a quantum diamond microscope
by: Glenn, D. R., et al.
Published: (2018) -
Supervised and unsupervised machine learning for side-channel based Trojan detection
by: Jap, Dirmanto, et al.
Published: (2017) -
Hardware Trojan detection based on the side-channel signal analysis
by: Lee, Liang Yuan
Published: (2014) -
The Trojan horse as a Trojan horse
by: Blikstein, Paulo
Published: (2011)