Name
Title | ||
|---|---|---|
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs |
Abstract | ||
|---|---|---|
Field-programmable gate arrays (FPGAs) are becoming widely used accelerators for a myriad of datacenter applications due to their flexibility and energy efficiency. Among these applications, FPGAs have shown promising results in accelerating low-latency real-time deep learning (DL) inference, which is becoming an indispensable component of many end-user applications. With the emerging research dir... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICFPT51103.2020.00023 | 2020 International Conference on Field-Programmable Technology (ICFPT) |
Keywords | DocType | ISBN |
Deep learning,Resistance,Real-time systems,Timing,Security,Circuit faults,Integrated circuit modeling | Conference | 978-1-6654-2302-1 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew Boutros | 1 | 25 | 4.61 |
| Mathew Hall | 2 | 10 | 1.97 |
| Nicolas Papernot | 3 | 1932 | 87.62 |
| Vaughn Betz | 4 | 1796 | 134.71 |