9 papers
Prompt-Segmentation Meets ROI Encryption: Fine-Grained Video Protection Based on Diffusion Isolation
Xiang Zhang, Haoyan Lu, Ziqiang Li +4
Region-of-interest (ROI) selective encryption in H.265/HEVC aims to protect sensitive content while preserving the utility of non-ROI regions. Existing coding-unit (CU)-level appro…
Semantic Manipulation Localization
Zhenshan Tan, Chenhan Lu, Yuxiang Huang +6
Image Manipulation Localization (IML) aims to identify edited regions in an image. However, with the increasing use of modern image editing and generative models, many manipulation…
A H.265/HEVC Fine-Grained ROI Video Encryption Algorithm Based on Coding Unit and Prompt Segmentation
Xiang Zhang, Haoyan Lu, Ziqiang Li +4
ROI (Region of Interest) video selective encryption based on H.265/HEVC is a technology that protects the sensitive regions of videos by perturbing the syntax elements associated w…
H.265/HEVC Video Steganalysis Based on CU Block Structure Gradients and IPM Mapping
Xiang Zhang, Haiyang Xia, Fan Wang +4
Existing H.265/HEVC video steganalysis research mainly focuses on detecting the steganography based on motion vectors, intra prediction modes, and transform coefficients. However,…
Low-rank Orthogonal Subspace Intervention for Generalizable Face Forgery Detection
Chi Wang, Xinjue Hu, Boyu Wang +2
The generalization problem remains a key challenge in face forgery detection. This paper explores the reasons for the generalization failure of Vanilla CLIP: in ``real vs. fake" de…
Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition
Xiang Zhang, Wenliang Weng, Daoyong Fu +4
Deepfake detection remains highly challenging, particularly in cross-dataset scenarios and complex real-world settings. This challenge mainly arises because artifact patterns vary…
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
Jiazhen Yan, Ziqiang Li, Fan Wang +3
The rapid progress of generative models such as GANs and diffusion models has led to the widespread proliferation of AI-generated images, raising concerns about misinformation, pri…
Is Artificial Intelligence Generated Image Detection a Solved Problem?
Ziqiang Li, Jiazhen Yan, Ziwen He +4
The rapid advancement of generative models, such as GANs and Diffusion models, has enabled the creation of highly realistic synthetic images, raising serious concerns about misinfo…
Dual Frequency Branch Framework with Reconstructed Sliding Windows Attention for AI-Generated Image Detection
Jiazhen Yan, Ziqiang Li, Fan Wang +2
The rapid advancement of Generative Adversarial Networks (GANs) and diffusion models has enabled the creation of highly realistic synthetic images, presenting significant societal…