collaborators

9 papers

cs.LG2026

The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution

Erjian Zhang, Yatong Hao, Liejun Wang +1

While multi-task learning based automatic radiology report generation (RRG) is widely adopted to ensure clinical consistency, most focus on architectural designs yet remain limited…

cs.LG2026

Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models

Hongrui Zheng, Liejun Wang, Zhiqing Guo

The advancement of generalized deepfake disruption is constrained by the interruption imbalance, a fundamental bottleneck inherent to the generation of universal perturbations. We…

cs.CV2026

WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks

Ziyuan He, Zhiqing Guo, Liejun Wang +3

Deepfake technology poses increasing risks such as privacy invasion and identity theft. To address these threats, we propose WaveGuard, a proactive watermarking framework that enha…

cs.CV2026

All in One: Unifying Deepfake Detection, Tampering Localization, and Source Tracing with a Robust Landmark-Identity Watermark

Junjiang Wu, Liejun Wang, Zhiqing Guo

With the rapid advancement of deepfake technology, malicious face manipulations pose a significant threat to personal privacy and social security. However, existing proactive foren…

cs.CV2025

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…

cs.CV2025

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,…