4 citations · 4 across the 3 of their papers we have counts for
3 papers
On Improving Cross-dataset Generalization of Deepfake Detectors
Aakash Varma Nadimpalli, Ajita Rattani
Facial manipulation by deep fake has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deep fake detection methods have been propose…
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran +1
With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled da…
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition
Sreeraj Ramachandran, Aakash Varma Nadimpalli, Ajita Rattani
Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to t…