Work

ABSyn: An Accurate Differentially Private Data Synthesis Scheme With Adaptive Selection and Batch Processes

Year: 2024

Type: article

Source: IEEE Transactions on Information Forensics and Security

DOI: 10.1109/tifs.2024.3453175

Authors: Jingyu Jia, Xinhao Li, Tong Li, Zhewei Liu, Chang Tan, Siyi Lv, Liang Guo, Changyu Dong, Zheli Liu

Institutions: Nankai University, Huawei Technologies (China), Guangzhou University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G1323945101, G4856742107, G4940997820, G5037105391, 多方机器学习中推理攻击与防御研究

OpenAlex ID: W4402124652

FWCI: 0.528

Cites: 36

Cited by: 5

Related to: 10