1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.MM2026
Concept-Level Risk and Calibration for Governance in Diffusion Foundation Models
Kun Xu, Yushu Zhang, Tao Wang +4
Diffusion models have become a core paradigm for multimedia generation, offering powerful concept-driven controllability for personalization, semantic editing, and selective unlear…
cs.CR2025
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
Kun Xu, Wenying Wen, Shuren Qi +3
The task of text-to-image generation has achieved tremendous success in practice, with emerging concept generation models capable of producing highly personalized and customized co…
cs.CV2024★ 1 cited
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi, Yushu Zhang, Chao Wang +3
Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-requ…