2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Unbiased Model Prediction Without Using Protected Attribute Information
Puspita Majumdar, Surbhi Mittal, Saheb Chhabra +2
The problem of bias persists in the deep learning community as models continue to provide disparate performance across different demographic subgroups. Therefore, several algorithm…
Are Face Detection Models Biased?
Surbhi Mittal, Kartik Thakral, Puspita Majumdar +2
The presence of bias in deep models leads to unfair outcomes for certain demographic subgroups. Research in bias focuses primarily on facial recognition and attribute prediction wi…
DeePhy: On Deepfake Phylogeny
Kartik Narayan, Harsh Agarwal, Kartik Thakral +3
Deepfake refers to tailored and synthetically generated videos which are now prevalent and spreading on a large scale, threatening the trustworthiness of the information available…
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
Puspita Majumdar, Surbhi Mittal, Richa Singh +1
Identifying and mitigating bias in deep learning algorithms has gained significant popularity in the past few years due to its impact on the society. Researchers argue that models…