Age-Diverse Deepfake Dataset: Bridging the Age Gap in Deepfake Detection

TL;DR

This paper introduces an age-diverse deepfake dataset to address demographic bias, improving fairness and accuracy of deepfake detection models across age groups, and provides a reproducible pipeline for future research.

Contribution

It presents a novel, fairness-aware deepfake dataset and pipeline that mitigates age bias, enhancing model performance and generalization across age demographics.

Findings

Models trained on the dataset show fairer performance across age groups.

Improved overall accuracy and generalization of deepfake detection models.

The dataset and pipeline are publicly available for future research.

Abstract

The challenges associated with deepfake detection are increasing significantly with the latest advancements in technology and the growing popularity of deepfake videos and images. Despite the presence of numerous detection models, demographic bias in the deepfake dataset remains largely unaddressed. This paper focuses on the mitigation of age-specific bias in the deepfake dataset by introducing an age-diverse deepfake dataset that will improve fairness across age groups. The dataset is constructed through a modular pipeline incorporating the existing deepfake datasets Celeb-DF, FaceForensics++, and UTKFace datasets, and the creation of synthetic data to fill the age distribution gaps. The effectiveness and generalizability of this dataset are evaluated using three deepfake detection models: XceptionNet, EfficientNet, and LipForensics. Evaluation metrics, including AUC, pAUC, and EER, revealed that models trained on the age-diverse dataset demonstrated fairer performance across age groups, improved overall accuracy, and higher generalization across datasets. This study contributes a reproducible, fairness-aware deepfake dataset and model pipeline that can serve as a foundation for future research in fairer deepfake detection. The complete dataset and implementation code are available at https://github.com/unishajoshi/age-diverse-deepfake-detection.