Cover Image

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zi, Bojia, Chang, Minghao, Chen, Jingjing, Ma, Xingjun, Jiang, Yu-Gang
Format:	Preprint
Published:	2021
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Age-Diverse Deepfake Dataset: Bridging the Age Gap in Deepfake Detection
by: Joshi, Unisha
Published: (2025)

Evaluating Deepfake Detectors in the Wild
by: Pirogov, Viacheslav, et al.
Published: (2025)

Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
by: Shen, Qihao, et al.
Published: (2026)

Fair and Interpretable Deepfake Detection in Videos
by: Yoshii, Akihito, et al.
Published: (2025)

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
by: Li, Teng, et al.
Published: (2025)

Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
by: Romeo, Lanzino, et al.
Published: (2024)

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
by: Aboutalebi, Hossein, et al.
Published: (2023)

Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)

Real-Time Deepfake Detection in the Real-World
by: Cavia, Bar, et al.
Published: (2024)

A Quality-Centric Framework for Generic Deepfake Detection
by: Song, Wentang, et al.
Published: (2024)

OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection
by: Livernoche, Victor, et al.
Published: (2025)

Face Deepfakes -- A Comprehensive Review
by: Fernando, Tharindu, et al.
Published: (2025)

Fair Deepfake Detectors Can Generalize
by: Cheng, Harry, et al.
Published: (2025)

The Deepfake Detective: Interpreting Neural Forensics Through Sparse Features and Manifolds
by: Sahoo, Subramanyam, et al.
Published: (2025)

PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection
by: Nguyen, Tuan, et al.
Published: (2025)

Deepfake Detection of Face Images based on a Convolutional Neural Network
by: Kroiß, Lukas, et al.
Published: (2025)

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces
by: Shi, Junyu, et al.
Published: (2025)

Fit for Purpose? Deepfake Detection in the Real World
by: Lin, Guangyu, et al.
Published: (2025)

Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives
by: Batista, Matheus Martins
Published: (2025)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)

Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks
by: Gardoş, Rafael-Petruţ
Published: (2026)

Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
by: Lei, Zhanhe, et al.
Published: (2026)

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)

Extracting Training Data from Unconditional Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)

Deepfake Detection and the Impact of Limited Computing Capabilities
by: Cantero-Arjona, Paloma, et al.
Published: (2024)

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024)

ExDDV: A New Dataset for Explainable Deepfake Detection in Video
by: Hondru, Vlad, et al.
Published: (2025)

Revisiting Simple Baselines for In-The-Wild Deepfake Detection
by: Castaneda, Orlando, et al.
Published: (2025)

Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem
by: Kose, Neslihan, et al.
Published: (2025)

Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
by: Baru, Lalith Bharadwaj, et al.
Published: (2024)

Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review
by: Altuncu, Enes, et al.
Published: (2022)

A Multimodal Framework for Deepfake Detection
by: Gandhi, Kashish, et al.
Published: (2024)

Exploring Green AI for Audio Deepfake Detection
by: Saha, Subhajit, et al.
Published: (2024)

Data-Driven Fairness Generalization for Deepfake Detection
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)

Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
by: Bahavan, Nadarasar, et al.
Published: (2025)

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)

X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake Detection
by: Kim, Youngseo, et al.
Published: (2026)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
by: Abdullah, Sifat Muhammad, et al.
Published: (2024)

Adversarial Prompt Distillation for Vision-Language Models
by: Luo, Lin, et al.
Published: (2024)

Audio Deepfake Detection with Half-Truth Localisation Using Cross-Attentive Feature Fusion
by: Sutharya, S., et al.
Published: (2026)