Search Results - privacy+protection

3 Results Sort By:
Synthesizing Big Data of High Quality without Privacy Leakage –Competitive Performance of Deep CT Denoising Networks Trained on Diffusion Model-generated Data
RPI ID: 2023-075-301 Innovation Summary: This technology introduces systems and methods for synthesizing image data using super-resolution (SR) techniques. It leverages multiple low-resolution (LR) images to generate high-resolution (HR) outputs by extracting and combining fine-grained features across frames. The system is designed to enhance image...
Published: 3/10/2026   |   Inventor(s): Wenjun Xia, Yongyi Shi, Chuang Niu, Ge Wang
Keywords(s): Diffusion Models, Low-Dose CT, Privacy Protection
Category(s): Computational Science and Engineering
Deep Reinforcement-Learning-Based Text Anonymization for Attribute Privacy
Background Social media users generate a tremendous amount of data in forms such as profile information, network connections, and online posts. Online vendors use this data to understand user preferences and further predict their future needs. However, because user-generated data is rich in content, the data can be used by malicious attackers to infer...
Published: 2/13/2025   |   Inventor(s): Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu
Keywords(s): Machine Learning, Privacy Protection, Text Mining
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security
Text Representation Learning for Preserving Textual Privacy and Utility of User Data
BackgroundTextual information is one of the most significant portions of data that users generate by participating in different online activities such as leaving online reviews and posting tweets. On one hand, textual data consists of abundant information about users’ behavior, preferences, and needs which is critical for understanding them. For...
Published: 2/13/2025   |   Inventor(s): Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
Keywords(s): Data Mining, Machine Learning, Privacy Protection
Category(s): Physical Science, Computing & Information Technology