Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups

24 September 2020

Papers citing "Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups"

9 / 9 papers shown

Title
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 31 6 0 21 Nov 2022
Can GAN-induced Attribute Manipulations Impact Face Recognition? Sudipta Banerjee Aditi Aggarwal Arun Ross CVBM 30 1 0 07 Sep 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 37 38 0 22 Jul 2022
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection Aakash Varma Nadimpalli A. Rattani 43 31 0 21 Jul 2022
An Examination of Bias of Facial Analysis based BMI Prediction Models Hera Siddiqui A. Rattani K. Ricanek Twyla J. Hill CVBM 39 12 0 21 Apr 2022
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 33 23 0 13 Dec 2021
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers Aakash Varma Nadimpalli N. Reddy Sreeraj Ramachandran A. Rattani 14 4 0 09 Oct 2021
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults Anoop Krishnan Ali Almadan A. Rattani CVBM 25 5 0 04 Oct 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019