Jonathan Hehir

According to our database, Jonathan Hehir authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Interpreting Network Differential Privacy.

Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic

CoRR, April, 2025

PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality.

Harish Srinivas, Graham Cormode, Mehrdad Honarkhah, Samuel Lurye, Jonathan Hehir, Lunwen He, George Hong, Ahmed Magdy, Dzmitry Huba, Kaikai Wang, Shen Guo, Shoubhik Bhattacharya

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy.

Siddharth Vishwanath, Jonathan Hehir

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Federated Analytics in Practice: Engineering for Privacy, Scalability and Practicality.

Harish Srinivas, Graham Cormode, Mehrdad Honarkhah, Samuel Lurye, Jonathan Hehir, Lunwen He, George Hong, Ahmed Magdy, Dzmitry Huba, Kaikai Wang, Shen Guo, Shoubhik Bhattacharya

CoRR, 2024

2023

Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting.

Jonathan Hehir, Daniel Ting, Graham Cormode

Proceedings of the International Conference on Machine Learning, 2023

2022

Consistent Spectral Clustering of Network Block Models under Local Differential Privacy.

Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu

J. Priv. Confidentiality, 2022

Perfect Spectral Clustering with Discrete Covariates.

Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic

CoRR, 2022

2021

Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model.

Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu

CoRR, 2021