Jacob Imola

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Approximation Guarantees

Differential Privacy

Differentially Private

Hierarchical Clustering

Top Venues

USENIX Security Symposium

Publications

Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
Metric Differential Privacy at the User-Level. CoRR (2024)
Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR (2023)
Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta
Online k-means Clustering on Arbitrary Data Streams. ALT (2023)
Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML (2023)
Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
Private estimation algorithms for stochastic block models and mixture models. NeurIPS (2023)
Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
Private estimation algorithms for stochastic block models and mixture models. CoRR (2023)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Differentially Private Subgraph Counting in the Shuffle Model. CoRR (2022)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Communication-Efficient Triangle Counting under Local Differential Privacy. USENIX Security Symposium (2022)
Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
Robustness of Locally Differentially Private Graph Analysis Against Poisoning. CoRR (2022)
Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier
Balancing utility and scalability in metric differential privacy. UAI (2022)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model. CCS (2022)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Communication-Efficient Triangle Counting under Local Differential Privacy. CoRR (2021)
Jacob Imola, Kamalika Chaudhuri
Privacy Amplification Via Bernoulli Sampling. CoRR (2021)
Robi Bhattacharjee, Jacob Imola
No-Substitution $k$-means Clustering with Low Center Complexity and Memory. CoRR (2021)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Locally Differentially Private Analysis of Graph Statistics. USENIX Security Symposium (2021)
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Locally Differentially Private Analysis of Graph Statistics. CoRR (2020)
Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
Capacity Bounded Differential Privacy. NeurIPS (2019)
Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
Capacity Bounded Differential Privacy. CoRR (2019)