40 citations · 56 across the 14 of their papers we have counts for
43 papers · 1 filter
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
Anubhooti Jain, Susim Roy, Kwanit Gupta +2
Deep learning models, such as those used for face recognition and attribute prediction, are susceptible to manipulations like adversarial noise and unintentional noise, including G…
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…
MTCD: Cataract Detection via Near Infrared Eye Images
Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid +4
Globally, cataract is a common eye disease and one of the leading causes of blindness and vision impairment. The traditional process of detecting cataracts involves eye examination…
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha +2
The rapid progress in the ease of creating and spreading ultra-realistic media over social platforms calls for an urgent need to develop a generalizable deepfake detection techniqu…
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…