Name
Abstract | ||
|---|---|---|
This paper introduces a novel adversarial example generation method against face recognition systems (FRSs). An adversarial example (AX) is an image with deliberately crafted noise to cause incorrect predictions by a target system. The AXs generated from our method remain robust under real-world brightness changes. Our method performs nonlinear brightness transformations while leveraging the conce... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIOSIG52210.2021.9548291 | 2021 International Conference of the Biometrics Special Interest Group (BIOSIG) |
Keywords | DocType | Volume |
Adversarial examples,Face recognition,Brightness variations,Curriculum learning | Conference | 315 |
ISSN | ISBN | Citations |
LNI Volume: BIOSIG 2021, LNI Volume 315, ISBN 978-3-88579-709-8 | 978-1-6654-2693-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Inderjeet Singh | 1 | 0 | 0.68 |
| Satoru Momiyama | 2 | 0 | 0.34 |
| Kazuya Kakizaki | 3 | 0 | 2.37 |
| Toshinori Araki | 4 | 0 | 0.68 |