Capacity Bounded Differential Privacy. - Kamalika Chaudhuri; Jacob Imola; Ashwin Machanavajjhala (NeurIPS, 2019)

Locally Differentially Private Analysis of Graph Statistics. - Jacob Imola; Takao Murakami; Kamalika Chaudhuri (USENIX Security Symposium, 2021)

No-Substitution $k$-means Clustering with Low Center Complexity and Memory. - Robi Bhattacharjee; Jacob Imola (CoRR, 2021)

Privacy Amplification Via Bernoulli Sampling. - Jacob Imola; Kamalika Chaudhuri (CoRR, 2021)

Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model. - Jacob Imola; Takao Murakami; Kamalika Chaudhuri (CCS, 2022)

Balancing utility and scalability in metric differential privacy. - Jacob Imola; Shiva Prasad Kasiviswanathan; Stephen White; Abhinav Aggarwal; Nathanael Teissier (UAI, 2022)

Communication-Efficient Triangle Counting under Local Differential Privacy. - Jacob Imola; Takao Murakami; Kamalika Chaudhuri (USENIX Security Symposium, 2022)

Differentially Private Subgraph Counting in the Shuffle Model. - Jacob Imola; Takao Murakami; Kamalika Chaudhuri (CoRR, 2022)

Robustness of Locally Differentially Private Graph Analysis Against Poisoning. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2022)

Online k-means Clustering on Arbitrary Data Streams. - Robi Bhattacharjee; Jacob Imola; Michal Moshkovitz; Sanjoy Dasgupta (ALT, 2023)

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. - Jacob Imola; Alessandro Epasto; Mohammad Mahdian; Vincent Cohen-Addad; Vahab Mirrokni (ICML, 2023)

Private estimation algorithms for stochastic block models and mixture models. - Hongjie Chen 004; Vincent Cohen-Addad; Tommaso d'Orsi; Alessandro Epasto; Jacob Imola; David Steurer; Stefan Tiegel (NeurIPS, 2023)

Private Graph Statistics and Algorithms in Modern Applications - Jacob Imola (2023)

Metric Differential Privacy at the User-Level via the Earth-Mover's Distance. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CCS, 2024)

Metric Differential Privacy at the User-Level. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2024)

Lightweight Protocols for Distributed Private Quantile Estimation. - Anders Aamand; Fabrizio Boninsegna; Abigail Gentle; Jacob Imola; Rasmus Pagh (CoRR, 2025)

Differentially Private Quantiles with Smaller Error. - Jacob Imola; Fabrizio Boninsegna; Hannah Keller; Anders Aamand; Amrita Roy Chowdhury 001; Rasmus Pagh (CoRR, 2025)