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Breaking the Global North Stereotype: A Global South-centric Benchmark
  Dataset for Auditing and Mitigating Biases in Facial Recognition Systems

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems

22 July 2024
Siddharth D. Jaiswal
Animesh Ganai
A. Dash
Saptarshi Ghosh
Animesh Mukherjee
    CVBM
ArXivPDFHTML

Papers citing "Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems"

4 / 4 papers shown
Title
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
S. Jaiswal
Sagnik Basu
Sandipan Sikdar
Animesh Mukherjee
44
0
0
18 Mar 2025
News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News
News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News
Sujit Mandava
Deepak P
Sahely Bhadra
67
0
0
07 Feb 2025
Masked Face Recognition for Secure Authentication
Masked Face Recognition for Secure Authentication
Aqeel Anwar
A. Raychowdhury
CVBM
41
171
0
25 Aug 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
320
4,203
0
23 Aug 2019
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