activity
20222026
most citedS2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention

6 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing

Ruyi Chen, Lu Zhou, Xiaogang Xu +3

Text-to-Image (T2I) models have made significant strides in visual realism and semantic consistency, yet they often perpetuate and amplify societal biases. Existing evaluation meth…

cs.CR2026

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

Chiyu Zhang, Huiqin Yang, Bendong Jiang +8

The rapid proliferation of LLM-based autonomous agents in real operating system environments introduces a new category of safety risk beyond content safety: behavior jailbreak, whe…

cs.CL2025

Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts

Chiyu Zhang, Lu Zhou, Xiaogang Xu +3

Existing black-box jailbreak attacks achieve certain success on non-reasoning models but degrade significantly on recent SOTA reasoning models. To improve attack ability, inspired…

cs.CV2024

Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey

Chiyu Zhang, Lu Zhou, Xiaogang Xu +2

With the advent of Large Vision-Language Models (LVLMs), new attack vectors, such as cognitive bias, prompt injection, and jailbreaking, have emerged. Understanding these attacks p…

cs.CV2023

Edge Enhanced Image Style Transfer via Transformers

Chiyu Zhang, Jun Yang, Zaiyan Dai +1

In recent years, arbitrary image style transfer has attracted more and more attention. Given a pair of content and style images, a stylized one is hoped that retains the content fr…

cs.CV2022★ 6 cited

S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention

Chiyu Zhang, Xiaogang Xu, Lei Wang +2

Transformer's recent integration into style transfer leverages its proficiency in establishing long-range dependencies, albeit at the expense of attenuated local modeling. This pap…