[Algorithmic Foundations] #3. differential privacy promises
I discuss whether differential privacy can be free from harm and its security.
differential privacy
[Algorithmic Foundations] #2. Post-Processing proposition
I explain a proposal for post-processing differential privacy, and a theorem for size k.
[Algorithmic Foundations] #1. Differential Privacy definition
I explain the concepts among the algorithmic foundations of differential privacy.
NETS 4120: Algorithmic Game Theory #2 Differential Privacy
Mechanism Design via Differential Privacy
[DP#3] Database anonymization – randomized response
Randomized response techniques have been developed and applied, allowing researchers to gather sensitive information without compromising respondent privacy or truthfulness.
[DP#2] Database anonymization – differential privacy
I explain the mathematical foundations and Laplacian noise of differential privacy.
[DP#1] Database anonymization – k-anonymity, l-diversity, t-closeness
I expand on the concept of k-anonymity and l-diversity with a further improvement called t-closeness.