Differentially private SQL evaluation

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering

Final Year Thesis Oral Defense

Title: "Differentially private SQL evaluation"

By

WU Zhiang

Abstract:

Differential privacy is currently one dominating approach to guard against 
the SQL query results from releasing individual information for data 
analysis tasks. The multi-way join counting query presents a significant 
difficulty towards realizing the privacy-preserving query release. 
Residual sensitivity is an unprecedented mechanism that efficiently 
computes query answers with low noise and can be easily integrated into a 
relational database. It measures instance-dependent sensitivity for 
multi-way joins and supports any number of private relations. In this 
project, we implemented and tested an improvement of residual sensitivity.


Date            : 3 May 2022 (Tuesday)

Time            : 16:40-17:20

Zoom Link:
https://hkust.zoom.us/j/98805735082?pwd=V2psTk5DckpjRW8zOW8rOG9Ca2Q0Zz09

Meeting ID      : 988 0573 5082

Passcode        : 572269

Advisor         : Prof. YI Ke

2nd Reader      : Prof. LUO Qiong