4 citations · 4 across the 3 of their papers we have counts for
4 papers
Subgraph Counting with Local Node Differential Privacy
Sofya Raskhodnikova, Adam Smith, Connor Wagaman +1
We study the problem of approximately counting subgraphs under local node differential privacy (LNDP), a recently introduced model that enforces strong privacy guarantees in analys…
Differentially Private Modeling of Disease Transmission within Human Contact Networks
Shlomi Hod, Debanuj Nayak, Jason R. Gantenberg +3
Epidemiologic studies of infectious diseases often rely on models of contact networks to capture the complex interactions that govern disease spread, and ongoing projects aim to va…
Local Node Differential Privacy
Sofya Raskhodnikova, Adam Smith, Connor Wagaman +1
We initiate an investigation of node differential privacy for graphs in the local model of private data analysis. In our model, dubbed LNDP*, each node sees its own edge list and r…
Time-Aware Projections: Truly Node-Private Graph Statistics under Continual Observation
Palak Jain, Adam Smith, Connor Wagaman
We describe the first algorithms that satisfy the standard notion of node-differential privacy in the continual release setting (i.e., without an assumed promise on input streams).…