Research

Here is a list of my publications:

Conference Publications:

Robustness of Locally Differentially Private Graph Analysis Against Poisoning
In AsiaCCS 2025. [Paper] [Source Code]

Lightweight Protocols for Distributed Private Quantile Estimation In ICML 2025. [Paper] [Source Code]

Metric Differential Privacy at the User Level via Earth-Mover’s Distance
In CCS 2024. [Paper]

Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees
In ICML 2023, Selected for Oral Presentation. [Paper] [Source Code]

Online k-means Clustering on Arbitrary Data Streams
In ALT 2023. [Paper]

Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model
In CCS 2022. [Paper]

Balancing Utility and Scalability in Metric Differential Privacy
In UAI 2022. [Paper] [Source Code]

Communication-Efficient Triangle Counting under Local Differential Privacy
In USENIX 2022. [Paper]

Locally Differentially Private Analysis of Graph Statistics
In USENIX 2021. [Paper]

Capacity-Bounded Differential Privacy
In NeurIPS 2019. [Paper]

Preprints

Differentially Private Quantiles with Smaller Error In submission. [Paper]

Other Publications

Privacy Amplification Via Bernoulli Sampling
In TPDP workshop at ICML 2021. [Paper]