The Competition of Fairness in AI-generated Face Detection: Methods and Results Article

Hu, Shu, Lin, Li, Desai, Shail et al. (2026). The Competition of Fairness in AI-generated Face Detection: Methods and Results . Machine Intelligence Research, 23(3), 501-527. 10.1007/s11633-026-1637-x

cited authors

  • Hu, Shu; Lin, Li; Desai, Shail; Pawar, Aditya; Lin, Guangyu; Wang, Xin; Schiff, Daniel S; Mohanty, Sachi Nandan; Ofman, Ryan; Bejtic, Narcis; Gillham, Jon; Zhang, Wenbin; Wu, Baoyuan; Canton, Cristian; Liu, Xiaoming; Verdoliva, Luisa; Lyu, Siwei; Tang, Yongwei; Wu, Zhiqiang; Seow, Jiawen; Alaverdyan, Zara; Baron, Anne-Flore; Bozonnet, Simon; Bruveris, Martins; Gietema, Jochem; Innocenti, Lucia; Ivanova, Lisa; Koch, Olivier; Ni, Harry; Pajot, Arthur; Sabathe, Romain; Gu, Fengming; Long, Xingming; Zhang, Jie; Ge, Wenqing; Cao, Xiangkui; Min, Yuecong; Liu, Yingjie; Guo, Zonghui; Shan, Shiguang; Park, Jinhee; Kim, Minjun; Park, Ahyeon; Kim, Guisik; Kim, Taewoo; Yoo, YoungJoon; Kwon, Junseok; Li, Zhaoda; Tang, Mengyun; Huang, Leyang; Dura, Bogdan; Balmus, Sebastian; Su, Fang-Yi; Lee, Tsung-Hua; Kao, Ting-Wan

authors

publication date

  • June 1, 2026

published in

keywords

  • AI-generated face
  • Automation & Control Systems
  • Computer Science
  • Computer Science, Artificial Intelligence
  • DeepFake detection
  • Science & Technology
  • Technology
  • competition
  • cybersecurity
  • fairness

Digital Object Identifier (DOI)

publisher

  • SPRINGERNATURE

start page

  • 501

end page

  • 527

volume

  • 23

issue

  • 3