1 citations · 1 across the 5 of their papers we have counts for
8 papers · 1 filter
Can GAN-induced Attribute Manipulations Impact Face Recognition?
Sudipta Banerjee, Aditi Aggarwal, Arun Ross
Impact due to demographic factors such as age, sex, race, etc., has been studied extensively in automated face recognition systems. However, the impact of \textit{digitally modifie…
Facial De-morphing: Extracting Component Faces from a Single Morph
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
A face morph is created by strategically combining two or more face images corresponding to multiple identities. The intention is for the morphed image to match with multiple ident…
Conditional Identity Disentanglement for Differential Face Morph Detection
Sudipta Banerjee, Arun Ross
We present the task of differential face morph attack detection using a conditional generative network (cGAN). To determine whether a face image in an identification document, such…
One-shot Representational Learning for Joint Biometric and Device Authentication
Sudipta Banerjee, Arun Ross
In this work, we propose a method to simultaneously perform (i) biometric recognition (i.e., identify the individual), and (ii) device recognition, (i.e., identify the device) from…
Smartphone Camera De-identification while Preserving Biometric Utility
Sudipta Banerjee, Arun Ross
The principle of Photo Response Non Uniformity (PRNU) is often exploited to deduce the identity of the smartphone device whose camera or sensor was used to acquire a certain image.…
Face Phylogeny Tree Using Basis Functions
Sudipta Banerjee, Arun Ross
Photometric transformations, such as brightness and contrast adjustment, can be applied to a face image repeatedly creating a set of near-duplicate images. Identifying the original…