Abstract
Reversible circuits are vulnerable to intellectual
property and integrated circuit piracy. To show these vulnerabilities,
a detailed understanding on how to identify the
function embedded in a reversible circuit is crucial. To obtain the
embedded function, one needs to know the synthesis approach
used to generate the reversible circuit in the first place. We
present a machine learning based scheme to identify the synthesis
approach using telltale signs in the design.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Computer Design (ICCD) |
| Number of pages | 4 |
| Publication status | Published - 2017 |
Fields of science
- 102 Computer Sciences
- 202 Electrical Engineering, Electronics, Information Engineering
JKU Focus areas
- Computation in Informatics and Mathematics
- Mechatronics and Information Processing
- Nano-, Bio- and Polymer-Systems: From Structure to Function