Correction to “Local Information Privacy and its Applications to Data Aggregation”
Abstract
In our previous works [1, 2, 3], we defined$(\epsilon ,\delta )$-Local Information Privacy (LIP) as a context-aware privacy notion and presented the corresponding privacy-preserving mechanism. Then we claim that the mechanism satisfies$(\epsilon ,0)$-LIP for any$\epsilon \gt 0$for arbitrary$P_{X}$. However, this claim is not completely correct. In this document, we provide a correction to the valid range of privacy parameters of our previously proposed LIP mechanism. Further, we propose efficient algorithms to expand the range of valid privacy parameters. Finally, we discuss the impact on our experimental results, the rationale of the proposed correction and corrected results. Proofs of the main results in this paper are provided in our full version [6].
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Cloud Data Security Solutions
Privacy
Security
and Data Protection
Publication details
- Journal / source
- IEEE Transactions on Dependable and Secure Computing
- Volume
- 23
- Issue
- 3
- Pages
- 7521–7522
- Publication date
- 12 March 2026
- Language
- EN