13 citations · 13 across the 10 of their papers we have counts for
10 papers
SACE: Concept Erasure at the Semantic Singularity in Visual Autoregressive Models
Siya Yang, Nanxiang Jiang, Zhaoxin Fan +1
The rapid progress of visual autoregressive (VAR) models has unlocked a transformative frontier for high-fidelity text-to-image synthesis, while heightening concerns over the safet…
Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
Zhiyuan Wang, Yanxiang Chen, Pengcheng Zhao +2
Detecting AI-generated images across unseen architectures remains challenging, as existing models often overfit to generator-specific fingerprints and semantic content rather than…
Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection
Yawen Yang, Feng Li, Shuqi Kong +4
Recent rapid advancement of generative models has significantly improved the fidelity and accessibility of AI-generated synthetic images. While enabling various innovative applicat…
FBAD: Frequency-based Black-box Attack for AI-generated Image Detection
Xiaojing Chen, Dan Li, Lijun Peng +6
The prosperous development of Artificial Intelligence-Generated Content (AIGC) has brought people's anxiety about the spread of false information on social media. Designing detecto…
HieroAction: Hierarchically Guided VLM for Fine-Grained Action Analysis
Junhao Wu, Xiuer Gu, Zhiying Li +6
Evaluating human actions with clear and detailed feedback is important in areas such as sports, healthcare, and robotics, where decisions rely not only on final outcomes but also o…
Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
Lixin Jia, Haiyang Sun, Zhiqing Guo +3
With the rapid evolution of deepfake technologies and the wide dissemination of digital media, personal privacy is facing increasingly serious security threats. Deepfake proactive…
Boosting Active Defense Persistence: A Two-Stage Defense Framework Combining Interruption and Poisoning Against Deepfake
Hongrui Zheng, Yuezun Li, Liejun Wang +2
Active defense strategies have been developed to counter the threat of deepfake technology. However, a primary challenge is their lack of persistence, as their effectiveness is oft…
Bridging Semantic Logic Gaps: A Cognition Inspired Multimodal Boundary Preserving Network for Image Manipulation Localization
Songlin Li, Zhiqing Guo, Yuanman Li +4
The existing image manipulation localization (IML) models mainly relies on visual cues, but ignores the semantic logical relationships between content features. In fact, the conten…
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization
Songlin Li, Guofeng Yu, Zhiqing Guo +3
Deep learning-based image manipulation localization (IML) methods have achieved remarkable performance in recent years, but typically rely on large-scale pixel-level annotated data…
DiffMark: Diffusion-based Robust Watermark Against Deepfakes
Chen Sun, Haiyang Sun, Zhiqing Guo +5
Deepfakes pose significant security and privacy threats through malicious facial manipulations. While robust watermarking can aid in authenticity verification and source tracking,…