Biometrics Systems Under Spoofing Attack: An evaluation methodology and lessons learned
By Abdenour Hadid, N. Evans, Sébastien Marcel, Julian Fierrez. 2015
202 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Information Systems
In Signal Processing
- N. Evans
- Junichi Yamagishi
- Tomi H. Kinnunen
- Md. Sahidullah
- Zhizheng Wu
- Rubén Vera-Rodriguez
- Rubén Tolosana
- Julian Fierrez
Citations in the corpus
- ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge (2015, background): “This choice was adopted mainly for simplicity; decoupling the evaluation of standalone spoofing detection from the complexities of ASV avoids certain complications related to what would otherwise involve the joint evaluation of two, coupled systems [9].”
- GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection (2019, background): “…past decade have been paying growing attention to understanding and protecting against what was considered a relevant threat around face biometrics [2]: presentation attacks conducted physically against the face sensor (camera) using In general, state-of-the-art face manipulation detectors can…”