122 citations · 257 across the 38 of their papers we have counts for
4 papers · 1 filter
Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems
Sudipta Banerjee, Anubhav Jain, Zehua Jiang +3
A dictionary attack in a biometric system entails the use of a small number of strategically generated images or templates to successfully match with a large number of identities,…
Fair GANs through model rebalancing for extremely imbalanced class distributions
Anubhav Jain, Nasir Memon, Julian Togelius
Deep generative models require large amounts of training data. This often poses a problem as the collection of datasets can be expensive and difficult, in particular datasets that…
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Anubhav Jain, Nasir Memon, Julian Togelius
Facial recognition systems have made significant strides thanks to data-heavy deep learning models, but these models rely on large privacy-sensitive datasets. Further, many of thes…
A Dataless FaceSwap Detection Approach Using Synthetic Images
Anubhav Jain, Nasir Memon, Julian Togelius
Face swapping technology used to create "Deepfakes" has advanced significantly over the past few years and now enables us to create realistic facial manipulations. Current deep lea…