4 citations · 9 across the 17 of their papers we have counts for
18 papers
An Efficient and Effective Watermarking Scheme for the Protection of the Intellectual Property Rights of Video Generative Models
Wenhong Huang, Jianwei Fei, Benedetta Tondi +2
The rapid development of video generative models (VGMs) has enabled the generation of highly realistic synthetic videos, raising concerns about the intellectual property rights (IP…
Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models
Jianwei Fei, Yunshu Dai, Zhihua Xia +4
Model fingerprinting, embedding user-specific identifiers (fingerprints) into generated outputs, has recently emerged as a popular solution to protect the intellectual property rig…
PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
Xiaoyu Zhou, Jianwei Fei, Peipeng Yu +3
The rapid evolution of generative AI, from GANs to modern diffusion models, has resulted in increasingly subtle discriminative clues. These fine-grained signals are often overshado…
ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation
Junyan Luo, Peipeng Yu, Jianwei Fei +4
Deepfake technologies have rapidly advanced with modern generative AI, and face swapping in particular poses serious threats to privacy and digital security. Existing proactive def…
Dual-Guard: Dual-Channel Latent Watermarking for Provenance and Tamper Localization in Diffusion Images
JinFeng Xie, Chengfu Ou, Peipeng Yu +5
The rapid adoption of diffusion-based generative models has intensified concerns over the attribution and integrity of AI-generated content (AIGC). Existing single-domain watermark…
NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild
Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51
This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…
FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection
Zhilin Tu, Kemou Li, Fengpeng Li +3
The rapid iteration and widespread dissemination of deepfake technology have posed severe challenges to information security, making robust and generalizable detection of AI-genera…
High-Fidelity Face Content Recovery via Tamper-Resilient Versatile Watermarking
Peipeng Yu, Jinfeng Xie, Chengfu Ou +5
The proliferation of AIGC-driven face manipulation and deepfakes poses severe threats to media provenance, integrity, and copyright protection. Existing versatile watermarking syst…
Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
Peipeng Yu, Jianwei Fei, Hui Gao +3
Current Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in understanding multimodal data, but their potential remains underexplored for deepfake dete…
DFREC: DeepFake Identity Recovery Based on Identity-aware Masked Autoencoder
Peipeng Yu, Hui Gao, Jianwei Fei +3
Recent advances in deepfake forensics have primarily focused on improving the classification accuracy and generalization performance. Despite enormous progress in detection accurac…
Robust Retraining-free GAN Fingerprinting via Personalized Normalization
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
In recent years, there has been significant growth in the commercial applications of generative models, licensed and distributed by model developers to users, who in turn use them…
Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
We propose a novel multi-bit box-free watermarking method for the protection of Intellectual Property Rights (IPR) of GANs with improved robustness against white-box attacks like f…
Learning to mask: Towards generalized face forgery detection
Jianwei Fei, Yunshu Dai, Huaming Wang +1
Generalizability to unseen forgery types is crucial for face forgery detectors. Recent works have made significant progress in terms of generalization by synthetic forgery data aug…
General GAN-generated image detection by data augmentation in fingerprint domain
Huaming Wang, Jianwei Fei, Yunshu Dai +2
In this work, we investigate improving the generalizability of GAN-generated image detectors by performing data augmentation in the fingerprint domain. Specifically, we first separ…
Learning Second Order Local Anomaly for General Face Forgery Detection
Jianwei Fei, Yunshu Dai, Peipeng Yu +3
In this work, we propose a novel method to improve the generalization ability of CNN-based face forgery detectors. Our method considers the feature anomalies of forged faces caused…
Supervised GAN Watermarking for Intellectual Property Protection
Jianwei Fei, Zhihua Xia, Benedetta Tondi +1
We propose a watermarking method for protecting the Intellectual Property (IP) of Generative Adversarial Networks (GANs). The aim is to watermark the GAN model so that any image ge…
A Screen-Shooting Resilient Document Image Watermarking Scheme using Deep Neural Network
Sulong Ge, Zhihua Xia, Yao Tong +2
With the advent of the screen-reading era, the confidential documents displayed on the screen can be easily captured by a camera without leaving any traces. Thus, this paper propos…
A Robust Document Image Watermarking Scheme using Deep Neural Network
Sulong Ge, Zhihua Xia, Jianwei Fei +2
Watermarking is an important copyright protection technology which generally embeds the identity information into the carrier imperceptibly. Then the identity can be extracted to p…