activity
20242026
collaborators

8 papers

cs.HC2026

Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution

Wenkui Yang, Yiming Hao, Kai Zhou +6

Graphical user interface (GUI) agents now execute workflows across real applications, but when execution drifts, users must determine what changed, what should have remained untouc…

cs.CV2026

GaugeVLM: Structuring Spatial Supervision with Measured Geometric Interventions

Hongbo Wang, Zihan Lin, Wenkui Yang +5

Vision-language models (VLMs) can contradict themselves across views of the same spatial relation and fail to respond when that relation changes. Addressing these failures requires…

cs.AI2026

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents

Chao Jin, Wenkui Yang, Hao Sun +6

While progress in GUI agents has been largely driven by industrial-scale training, ungrounded hallucinations often trigger cascading failures in real-world deployments.Unlike gener…

cs.CR2026

Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection

Wenkui Yang, Chao Jin, Haisu Zhu +7

Existing red-teaming studies on GUI agents face two fundamental limitations: adversarial perturbations require white-box access unavailable in commercial deployments, while prompt…

cs.CV2025

Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification

Wenkui Yang, Jie Cao, Junxian Duan +1

Diffusion models like Stable Diffusion have become prominent in visual synthesis tasks due to their powerful customization capabilities, which also introduce significant security r…

cs.CV2025

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges

Junxian Duan, Jiyang Guan, Wenkui Yang +1

As generative artificial intelligence technologies like Stable Diffusion advance, visual content becomes more vulnerable to misuse, raising concerns about copyright infringement. V…

cs.CV2025

TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection

Wenkui Yang, Zhida Zhang, Xiaoqiang Zhou +2

The emergence and popularity of facial deepfake methods spur the vigorous development of deepfake datasets and facial forgery detection, which to some extent alleviates the securit…

cs.CV2024

Band-Attention Modulation Network for Robust Face Forgery Detection

Zhida Zhang, Jie Cao, Wenkui Yang +4

Face forgery detection faces critical challenges in generalizing to unseen manipulation techniques and remaining robust under image compression, which often obscures subtle artifac…