Name
Title | ||
|---|---|---|
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities |
Abstract | ||
|---|---|---|
In the past decade, a lot of progress has been made in the design and evaluation of logic locking; a premier technique to safeguard the integrity of integrated circuits throughout the electronics supply chain. However, the widespread proliferation of machine learning has recently introduced a new pathway to evaluating logic locking schemes. This paper summarizes the recent developments in logic lo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VLSI-SoC53125.2021.9606979 | 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC) |
Keywords | DocType | ISBN |
logic locking,machine learning,neural networks,reverse engineering,genetic algorithms | Conference | 978-1-6654-2614-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominik Sisejkovic | 1 | 0 | 1.01 |
| Lennart M. Reimann | 2 | 5 | 2.50 |
| Elmira Moussavi | 3 | 0 | 0.34 |
| Farhad Merchant | 4 | 2 | 1.07 |
| Rainer Leupers | 5 | 1389 | 136.48 |