Cover Image

Forgery Guided Learning Strategy with Dual Perception Network for Deepfake Cross-domain Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Lixin, Guo, Zhiqing, Yang, Gaobo, Wang, Liejun, Li, Keqin
Format:	Preprint
Published:	2025
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

WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks
by: He, Ziyuan, et al.
Published: (2025)

DiffMark: Diffusion-based Robust Watermark Against Deepfakes
by: Sun, Chen, et al.
Published: (2025)

Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
by: Jia, Lixin, et al.
Published: (2025)

All in One: Unifying Deepfake Detection, Tampering Localization, and Source Tracing with a Robust Landmark-Identity Watermark
by: Wu, Junjiang, et al.
Published: (2026)

Which Face and Whose Identity? Solving the Dual Challenge of Deepfake Proactive Forensics in Multi-Face Scenarios
by: Zhang, Lei, et al.
Published: (2026)

Bridging Semantic Logic Gaps: A Cognition Inspired Multimodal Boundary Preserving Network for Image Manipulation Localization
by: Li, Songlin, et al.
Published: (2025)

GIFGuard: Proactive Forensics against Deepfakes in Facial GIFs via Spatiotemporal Watermarking
by: Che, Shupeng, et al.
Published: (2026)

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

From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations
by: Guo, Zhiqing, et al.
Published: (2025)

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment
by: Li, Songlin, et al.
Published: (2026)

Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models
by: Zheng, Hongrui, et al.
Published: (2026)

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

Similarity Memory Prior is All You Need for Medical Image Segmentation
by: Tang, Hao, et al.
Published: (2025)

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

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

Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization
by: Li, Songlin, et al.
Published: (2025)

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

The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
by: Zhang, Erjian, et al.
Published: (2026)

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

Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)

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

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
by: Lin, Yuzhen, et al.
Published: (2024)

Deepfake Forensics Adapter: A Dual-Stream Network for Generalizable Deepfake Detection
by: Liao, Jianfeng, et al.
Published: (2026)

Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection
by: Das, Sayantan, et al.
Published: (2023)

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

Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
by: Qiu, Lingyu, et al.
Published: (2025)

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

Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis
by: Liu, Miao, et al.
Published: (2026)

Rethinking Cross-Generator Image Forgery Detection through DINOv3
by: Huang, Zhenglin, et al.
Published: (2025)

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

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs
by: Liu, Yuxin, et al.
Published: (2026)

Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization
by: Guo, Midou, et al.
Published: (2026)

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

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
by: Liang, Jiawei, et al.
Published: (2024)

CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition
by: Yang, Shanmin, et al.
Published: (2023)

BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
by: Liu, Weihua, et al.
Published: (2024)

Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection
by: Wang, Hao, et al.
Published: (2025)

Deep Learning Technology for Face Forgery Detection: A Survey
by: Ma, Lixia, 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)