A Deep Dive into Dataset Imbalance and Bias in Face Identification

15 March 2022

Papers citing "A Deep Dive into Dataset Imbalance and Bias in Face Identification"

8 / 8 papers shown

Title
A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Anees Nashath Shaik Barbara Villarini Vasileios Argyriou 18 0 0 06 Jun 2025
Pura: An Efficient Privacy-Preserving Solution for Face Recognition Guotao Xu Bowen Zhao Yang Xiao Yantao Zhong Liang Zhai Qingqi Pei PICV 31 0 0 21 May 2025
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images Tian Qiu Arjun Nichani Rasta Tadayontahmasebi Haewon Jeong 62 0 0 05 May 2025
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 57 0 0 18 Mar 2025
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition Pietro Melzi Christian Rathgeb Ruben Tolosana R. Vera-Rodríguez Aythami Morales Dominik Lawatsch Florian Domin Maxim Schaubert 67 12 0 02 Feb 2024
Fairer and More Accurate Tabular Models Through NAS Richeek Das Samuel Dooley 75 5 0 18 Oct 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley R. Sukthanker John P. Dickerson Colin White Frank Hutter Micah Goldblum CVBM 132 23 0 18 Oct 2022
Fairness Properties of Face Recognition and Obfuscation Systems Harrison Rosenberg Brian Tang Kassem Fawaz S. Jha PICV 71 14 0 05 Aug 2021