On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining

• المؤلفون الرئيسيون: GUO, Songtao, Wu, Xintao, LI, Yingjiu
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2006
• الموضوعات: Information Security
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/322; http://dx.doi.org/10.1007/11871637_51
• المؤسسة: Singapore Management University

Additive Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining. The previous work based on Spectral Filtering empirically showed that individual data can be separated from the perturbed one and as a result privacy can be seriously compromis...