most citedGOTCHA: Real-Time Video Deepfake Detection via Challenge-Response

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023

Information Forensics and Security: A quarter-century-long journey

Mauro Barni, Patrizio Campisi, Edward J. Delp +7

Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to fac…

cs.CV2023

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…

cs.CV2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models

Sudipta Banerjee, Govind Mittal, Ameya Joshi +2

The performance of automated face recognition systems is inevitably impacted by the facial aging process. However, high quality datasets of individuals collected over several years…

cs.CV2023

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…

cs.CV2022

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…

cs.CR2022★ 2 cited

GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response

Govind Mittal, Chinmay Hegde, Nasir Memon

With the rise of AI-enabled Real-Time Deepfakes (RTDFs), the integrity of online video interactions has become a growing concern. RTDFs have now made it feasible to replace an impo…

cs.CV2022★ 1 cited

Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage

M Charity, Nasir Memon, Zehua Jiang +2

This work expands on previous advancements in genetic fingerprint spoofing via the DeepMasterPrints and introduces Diversity and Novelty MasterPrints. This system uses quality dive…