Here is a list of my publications. Authors names are in contribution order by default, * means equal contribution. Alphabetical authors are denoted by α.

Conference Publications:

  1. Differentially Private Quantiles with Smaller Error. Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh. In NeurIPS 2025.

  2. Robustness of Locally Differentially Private Graph Analysis Against Poisoning. Amrita Roy Chowdhury*, Jacob Imola*, Kamalika Chaudhuri. In AsiaCCS 2025.

  3. Lightweight Protocols for Distributed Private Quantile Estimation. Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh (α). In ICML 2025.

  4. Metric Differential Privacy at the User Level via Earth-Mover’s Distance. Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri. In CCS 2024.

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

  6. Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. Jacob Imola, Alessandro Epasto, Vincent Cohen-Addad, Mohammad Mahdian, Vahab Mirrokni. In ICML 2023, Selected for Oral Presentation.

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

  8. Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model. Jacob Imola*, Takao Murakami*, Kamalika Chaudhuri. In CCS 2022.

  9. Balancing Utility and Scalability in Metric Differential Privacy. Jacob Imola, Shiva Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier. In UAI 2022.

  10. Communication-Efficient Triangle Counting under Local Differential Privacy. Jacob Imola*, Takao Muarkami*, Kamalika Chaudhuri. In USENIX 2022.

  11. Locally Differentially Private Analysis of Graph Statistics. Jacob Imola*, Takao Muarkami*, Kamalika Chaudhuri. In USENIX 2021.

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

Preprints

Other Publications

  1. Privacy Amplification Via Bernoulli Sampling. Jacob Imola, Kamalika Chaudhuri. In TPDP workshop at ICML 2021.