- ML is very powerful for doing identification/localization/segmentation,
but is usually applied to more structrued data (e.g., images). - Hardware reverse engineering (HRE) = understanding the operation/internal structure
of a circuit from external measurements - Project goals:
- Build an infrastructure for comparing different ML approaches to HRE.
- Reproduce the results of [1].
- Explore off-the-shelf modern ML techniques for HRE.