The Harms of Demographic Bias in Deep Face Recognition Research

Author:

Garcia Raul Vicente1,Wandzik Lukasz1,Grabner Louisa1,Krueger Joerg1

Affiliation:

1. Fraunhofer IPK,Department of Machine Vision,Berlin

Publisher

IEEE

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias;ACM Computing Surveys;2024-06-28

3. Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

4. Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. Face Recognition Research and Development;Handbook of Face Recognition;2023-12-30

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