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Leixia Wang

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#artificial intelligence Preprint Sep 2026

GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction

It is argued that dynamic social encoding does not necessarily imply dynamic social activation, and a generation-aware bias activation model is proposed, a generation-aware bias activation model for human trajectory prediction that consistently improves the resonance-based baseline and achieves competitive state-of-the...

Jia-Heng Chen, Jia-Xing Li, Leixia Wang et al. · 0 citations
Book Open access Aug 2026

Efficient Privacy Auditing for Generative Model via Local Information

This work proposes an empirical privacy assessment framework that leverages local image information, instead of treating images as indivisible wholes, to improve the distinguishability of privacy leakage signals and further leverage the image inpainting interface of diffusion models to perform region-focused auditing i...

Jingnan Xu, Leixia Wang, Xiaofeng Meng · 0 citations
Book Open access Aug 2026

Efficient Privacy Auditing for Generative Model via Local Information

Diffusion models have become the dominant approach for text-to-image generation, but their ability to memorize training data raises increasing concerns about privacy leakage. Differential privacy (DP) is widely adopted to mitigate such privacy risks during model fine-tuning, yet the practical privacy leakage of differe...

Jingnan Xu, Leixia Wang, Xiaofeng Meng · 0 citations

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