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
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· Proceedings of the 32nd ACM...· 0 citations
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· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.