Addressing syntactic privacy for privacy-preserving data analysis and data release
<p>Existing approaches to tackle the challenges of privacy-preserving data analysis and data release are subject to vulnerabilities from certain attacks (which is the case for syntactic privacy models) or suffer in terms of efficiency, scalability or utility (which is the case for techniques b...
מחבר ראשי: | Ankele, R |
---|---|
מחברים אחרים: | Martinovic, I |
פורמט: | Thesis |
שפה: | English |
יצא לאור: |
2020
|
נושאים: |
פריטים דומים
-
Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing
מאת: Yingcong Hong, et al.
יצא לאור: (2024-09-01) -
Data Sharing Privacy Metrics Model Based on Information Entropy and Group Privacy Preference
מאת: Yihong Guo, et al.
יצא לאור: (2023-03-01) -
Big healthcare data: preserving security and privacy
מאת: Karim Abouelmehdi, et al.
יצא לאור: (2018-01-01) -
A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing
מאת: Adrian Tobar Nicolau, et al.
יצא לאור: (2024-01-01) -
Review of semantic-based privacy-preserving approaches in LBS
מאת: Ming-jie MA, et al.
יצא לאור: (2016-12-01)