5 papers
General and Efficient Steering of Diffusion Models
Qingsong Wang, Mikhail Belkin, Yusu Wang
Steering diffusion models toward conditions unseen during training typically requires either retraining with conditional inputs or per-step gradient computations, both of which inc…
G-LoG Bi-filtration for Medical Image Classification
Qingsong Wang, Jiaxing He, Bingzhe Hou +3
Building practical filtrations on objects to detect topological and geometric features is an important task in the field of Topological Data Analysis (TDA). In this paper, leveragi…
Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
Nick Dodson, Xinyu Gao, Qingsong Wang +2
Diffusion models generate high-quality samples but can also memorize training data, raising serious privacy concerns. Understanding the mechanisms governing when memorization versu…
Convergent Privacy Framework for Multi-layer GNNs through Contractive Message Passing
Yu Zheng, Chenang Li, Zhou Li +1
Differential privacy (DP) has been integrated into graph neural networks (GNNs) to protect sensitive structural information, e.g., edges, nodes, and associated features across vari…
An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring
Qingsong Wang, Shengze Xu, Xiaojiao Tong +1
Image deblurring remains a central research area within image processing, critical for its role in enhancing image quality and facilitating clearer visual representations across di…