collaborators

10 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CR2025

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…

cs.CV2025

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…