Name
Title | ||
|---|---|---|
MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN |
Abstract | ||
|---|---|---|
Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against contributing data subjects with a reasonable success rate, given they have a high degree of facial resemblance. The success of morphing attacks is directly dependent on the quality of ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TBIOM.2021.3072349 | IEEE Transactions on Biometrics, Behavior, and Identity Science |
Keywords | DocType | Volume |
Faces,Face recognition,Gallium nitride,Generative adversarial networks,Manuals,Visualization,Security | Journal | 3 |
Issue | Citations | PageRank |
3 | 5 | 0.55 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoyu Zhang | 1 | 5 | 0.55 |
| Sushma Venkatesh | 2 | 32 | 11.55 |
| Ramachandra Raghavendra | 3 | 29 | 11.90 |
| Kiran B. Raja | 4 | 15 | 4.77 |
| Naser Damer | 5 | 5 | 0.89 |
| Christoph Busch | 6 | 163 | 33.54 |