1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
Siddharth Vishwanath, Jonathan Hehir
We consider the problem of recovering latent information from graphs under -edge local differential privacy where the presence of relationships/edges between two users…
math.ST2025
Interpreting Network Differential Privacy
Jonathan Hehir, Xiaoyue Niu, Aleksandra Slavkovic
How do we interpret the differential privacy (DP) guarantee for network data? We take a deep dive into a popular form of network DP (--edge DP) to find that many of it…
cs.DS2023★ 1 cited
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
Jonathan Hehir, Daniel Ting, Graham Cormode
Data sketching is a critical tool for distinct counting, enabling multisets to be represented by compact summaries that admit fast cardinality estimates. Because sketches may be me…