activity
20232026
most citedSecurity and Privacy on Generative Data in AIGC: A Survey

7 citations · 10 across the 5 of their papers we have counts for

collaborators

7 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

Make Identity Unextractable yet Perceptible: Synthesis-Based Privacy Protection for Subject Faces in Photos

Tao Wang, Yushu Zhang, Xiangli Xiao +4

Deep learning-based face recognition (FR) technology exacerbates privacy concerns in photo sharing. In response, the research community developed a suite of anti-FR methods to bloc…

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…

eess.AS2025★ 2 cited

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition

Ruoyu Zhao, Xiantao Jiang, F. Richard Yu +3

Speech Emotion Recognition (SER) plays a crucial role in enhancing human-computer interaction. Cross-Linguistic SER (CLSER) has been a challenging research problem due to significa…

cs.CV2024★ 1 cited

SemDP: Semantic-level Differential Privacy Protection for Face Datasets

Xiaoting Zhang, Tao Wang, Junhao Ji

While large-scale face datasets have advanced deep learning-based face analysis, they also raise privacy concerns due to the sensitive personal information they contain. Recent sch…

cs.CR2024

Image Privacy Protection: A Survey

Wenying Wen, Ziye Yuan, Yushu Zhang +4

Images serve as a crucial medium for communication, presenting information in a visually engaging format that facilitates rapid comprehension of key points. Meanwhile, during trans…

cs.CR2023★ 7 cited

Security and Privacy on Generative Data in AIGC: A Survey

Tao Wang, Yushu Zhang, Shuren Qi +3

The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in the evolution of information technology. With AIGC, it can be effortless to generate h…