Jacob Imola

Amrita Roy Chowdhury

CoRR, 2024

2023

Private Graph Statistics and Algorithms in Modern Applications

[BibT_eX]

[DOI]

PhD thesis, 2023

Private estimation algorithms for stochastic block models and mixture models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Online k-means Clustering on Arbitrary Data Streams.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Robustness of Locally Differentially Private Graph Analysis Against Poisoning.

[BibT_eX]

[DOI]

Amrita Roy Chowdhury

CoRR, 2022

Differentially Private Subgraph Counting in the Shuffle Model.

[BibT_eX]

[DOI]

CoRR, 2022

Communication-Efficient Triangle Counting under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Balancing utility and scalability in metric differential privacy.

[BibT_eX]

[DOI]

Shiva Prasad Kasiviswanathan

Stephen White

Abhinav Aggarwal

Nathanael Teissier

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Privacy Amplification Via Bernoulli Sampling.

[BibT_eX]

[DOI]

CoRR, 2021

No-Substitution $k$-means Clustering with Low Center Complexity and Memory.

[BibT_eX]

[DOI]

Robi Bhattacharjee

CoRR, 2021

Locally Differentially Private Analysis of Graph Statistics.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

2019

Capacity Bounded Differential Privacy.

[BibT_eX]

[DOI]