Cover Image

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Yuzhen, Song, Wentang, Li, Bin, Li, Yuezun, Ni, Jiangqun, Chen, Han, Li, Qiushi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards General Deepfake Detection with Dynamic Curriculum
by: Song, Wentang, et al.
Published: (2024)

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
by: Yu, Zeqin, et al.
Published: (2025)

Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach
by: Nie, Fan, et al.
Published: (2025)

Generalizable Face Forgery Detection via Separable Prompt Learning
by: Yang, Enrui, et al.
Published: (2026)

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

DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection
by: Nie, Fan, et al.
Published: (2024)

FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
by: Li, Zhaolun, et al.
Published: (2025)

Active Fake: DeepFake Camouflage
by: Sun, Pu, et al.
Published: (2024)

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection
by: Lin, Kaiqing, et al.
Published: (2024)

Fake it till You Make it: Reward Modeling as Discriminative Prediction
by: Liu, Runtao, et al.
Published: (2025)

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
by: Li, Hanzhe, et al.
Published: (2024)

DPL: Cross-quality DeepFake Detection via Dual Progressive Learning
by: Zhang, Dongliang, et al.
Published: (2024)

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
by: Yu, Yangxin, et al.
Published: (2026)

COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
by: Zhang, Cong, et al.
Published: (2023)

FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training
by: Sun, Pu, et al.
Published: (2023)

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
by: Yu, Zeqin, et al.
Published: (2025)

Detecting Diffusion-generated Images via Dynamic Assembly Forests
by: Fu, Mengxin, et al.
Published: (2026)

Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
by: Lin, Kaiqing, et al.
Published: (2025)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
by: Yuan, Shuaiwei, et al.
Published: (2025)

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
by: Yan, Zhiyuan, et al.
Published: (2023)

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
by: Cui, Xinjie, et al.
Published: (2024)

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
by: Ba, Zhongjie, et al.
Published: (2024)

DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
by: Cai, Yinqi, et al.
Published: (2025)

Texture, Shape, Order, and Relation Matter: A New Transformer Design for Sequential DeepFake Detection
by: Li, Yunfei, et al.
Published: (2024)

So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection
by: Huang, Zhenglin, et al.
Published: (2025)

Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics
by: Li, Yuezun, et al.
Published: (2025)

Decoupling Forgery Semantics for Generalizable Deepfake Detection
by: Ye, Wei, et al.
Published: (2024)

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
by: Zhu, Delong, et al.
Published: (2024)

Forgery Guided Learning Strategy with Dual Perception Network for Deepfake Cross-domain Detection
by: Jia, Lixin, 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)

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
by: Li, Tianxiao, et al.
Published: (2026)

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
by: Lv, Qingxuan, et al.
Published: (2023)

Generalize Your Face Forgery Detectors: An Insertable Adaptation Module Is All You Need
by: Si, Xiaotian, et al.
Published: (2024)

Boosting Active Defense Persistence: A Two-Stage Defense Framework Combining Interruption and Poisoning Against Deepfake
by: Zheng, Hongrui, et al.
Published: (2025)

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
by: Wang, Yihui, et al.
Published: (2026)

Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection
by: Zhang, Yi, et al.
Published: (2024)

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
by: Kong, Chenqi, et al.
Published: (2024)

Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition
by: Zhang, Xiang, et al.
Published: (2026)

A Novel Local Focusing Mechanism for Deepfake Detection Generalization
by: Li, Mingliang, et al.
Published: (2025)

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
by: Sun, Ke, et al.
Published: (2024)