Skip to content

| Sarah's Tech & Research Blog

Home
GT & DP
Paper
- Paper review
- Conference
AWS
Thoughts
GuestBook

mathematics

[DP#2] Database anonymization – differential privacy

12월 17, 2023 by sehee

I explain the mathematical foundations and Laplacian noise of differential privacy.

Categories Differential Privacy Tags database anonymization, Dec 17 2023, differential privacy, k-anonymity, mathematics, mondrian, python 1 Comment

검색

Recent Posts

[review#27] Survey of Cyber Moving Targets Second Edition_2018
[review#26] Moving Target Defense Meets Artificial-Intelligence-Driven Network: A Comprehensive Survey_2025
re:Post – How do I share a Route 53 profile with a VPC in a different account?
[review#25] Game Theory Approaches for Evaluating the Deception-based Moving Target Defense_2022
[review#24] Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems_2023

Recent Comments

re:Post – Why do SSL/TLS negotiation errors occur when connecting to an Application Load Balancer over HTTPS, and how can I identify the responsible client IP?의 Ruby White
[review #3] Game Theory | Types of Interactions, Equilibrium Concepts의 law firms
Game Theory 7 – chap11. Hold-up problem exercies의 39bet
베르너 하이젠베르크, 『부분과 전체』 (Werner Heisenberg, Der Teil und das Ganze) 도서를 읽고의 onlinecasinoau
Game Theory 7 – chap11. Hold-up problem exercies의 Ulrike

Categories

AWS
Book review
Conference
Differential Privacy
Game Theory
Hello
Moving Target Defense
Paper review
Volunteer

Archives

2025
2024
2023

Number of

Online Users: 0
Today's Visits: 66
Today's Visitors: 56
Total Visits: 123,841
Total Posts: 75

© 2026 Sarah Sehee P. • Built with GeneratePress

Korean