3 citations · 4 across the 12 of their papers we have counts for
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Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
Siddharth D Jaiswal, Sagnik Basu, Sandipan Sikdar +1
Automated Face Recognition Systems (FRSs), developed using deep learning models, are deployed worldwide for identity verification and facial attribute analysis. The performance of…
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash +2
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldw…
Mask-up: Investigating Biases in Face Re-identification for Masked Faces
Siddharth D Jaiswal, Ankit Kr. Verma, Animesh Mukherjee
AI based Face Recognition Systems (FRSs) are now widely distributed and deployed as MLaaS solutions all over the world, moreso since the COVID-19 pandemic for tasks ranging from va…
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash +1
Computer vision applications like automated face detection are used for a variety of purposes ranging from unlocking smart devices to tracking potential persons of interest for sur…