Analyzing Fairness in Deepfake Detection With Massively Annotated
Databases

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

11 August 2022

Philipp Terhörst

Kiran Raja

Marius Pedersen

Papers citing "Analyzing Fairness in Deepfake Detection With Massively Annotated Databases"

5 / 5 papers shown

Title
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 81 10 0 02 Jun 2024
Detecting Multimedia Generated by Large AI Models: A Survey Li Lin Neeraj Gupta Yue Zhang Hainan Ren Chun-Hao Liu Feng Ding Xin Eric Wang X. Li Luisa Verdoliva Shu Hu 75 56 0 22 Jan 2024
An Examination of Fairness of AI Models for Deepfake Detection Loc Trinh Y. Liu CVBM 77 35 0 02 May 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 135 1,037 0 27 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019