Resampling Strategy for Mitigating Unfairness in Face Attribute Classification

Dohyung Kim, Sungho Park, Sunhee Hwang, Minsong Ki, Seogkyu Jeon, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With the widespread success of artificial intelligence (AI) systems, various applications based on the systems are being applied to our daily life. However, AI systems also raise societal problems since it is highly dependent on training datasets with bias. Consequently, concerning about trustworthiness in AI systems becomes a popular research topic, and recent studies reveal unfairness in developed models. In this paper, we propose a new batch sampling strategy considering fairness among demographic groups. Unlike conventional batch sampling methods such as under-sampling or oversampling, we reflect the notion of fairness directly to estimate the batch sampling probability of data. We empirically demonstrate that our batch sampling method achieves fairer results compared to prior methods in image classification tasks on CelebA and UTKFace datasets.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781728167589
Publication statusPublished - 2020 Oct 21
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 2020 Oct 212020 Oct 23

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241


Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/TerritoryKorea, Republic of
CityJeju Island

Bibliographical note

Funding Information:
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation) and (Artificial Intelligence Graduate School Program(YONSEI UNIVERSITY)) under Grant 2020-0-01361.

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications


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