Your face is NOT your password Face Authentication ByPassing Lenovo – Asus – Toshiba
By N. M. Duc. 2009
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sébastien Marcel
- Javier Galbally
- André Anjos
- Zhen Lei
- Abdenour Hadid
- S. Li
- Ivana Chingovska
- Yaojie Liu
Citations in the corpus
- Counter-measures to photo attacks in face recognition: A public database and a baseline (2011, background): “This type of attack is therefore very easy to reproduce and has great potential to succeed [4].”
- Motion-based counter-measures to photo attacks in face recognition (2014, background): “Face recognition systems in particular are known to respond weakly to attacks for a long time [7], [8], [6] and are easily spoofed using one of 3 categories of counterfeits [9]: 1) a photograph; 2) a video or 3) a 3D model of the enrolled person’s face.”
- On the effectiveness of local binary patterns in face anti-spoofing (2012, background): “The assumptions that the artificial biometric evidence can bypass a biometric recognition system, are not only chimerical: in [2] the authors have shown how to successfully spoof a laptop authentication system using only a printed photograph.”
- Biometric Antispoofing Methods: A Survey in Face Recognition (2014, background): “, digital-photo attacks) [15], [59], [102].”
- Anti-spoofing in Action: Joint Operation with a Verification System (2013, background): “Since 2009, when the face verification systems of several laptops were successfully deceived by presenting fake facial images [10], every new commercial biometric verification system is being put to similar test by security enthusiasts.”
- Rocking Drones with Intentional Sound Noise on Gyroscopic Sensors (2015, methodology): “In addition, a method for bypassing the user authentication of facial cognitive biometric systems was proposed as an example of sensor input spoofing against the imaging sensor systems of commercial laptops [40].”
- A face antispoofing database with diverse attacks (2012, background): “Fake faces like photos and video playbacks are not only easy to implement but also usually quite effective in spoofing a FR system [1], and has become the main concern 1 in the literature as shown in Section.”