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ORCIDJacob Imola
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2020 – today
- 2024
[c9]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Metric Differential Privacy at the User-Level via the Earth-Mover's Distance. CCS 2024: 348-362- [i10]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Metric Differential Privacy at the User-Level. CoRR abs/2405.02665 (2024) - 2023
- [b1]Jacob Imola:
Private Graph Statistics and Algorithms in Modern Applications. University of California, San Diego, USA, 2023 - [c8]Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta:
Online k-means Clustering on Arbitrary Data Streams. ALT 2023: 204-236 - [c7]Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML 2023: 14353-14375 - [c6]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 - [i9]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 abs/2301.04822 (2023) - [i8]Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR abs/2302.00037 (2023) - 2022
- [c5]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model. CCS 2022: 1505-1519 - [c4]Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier:
Balancing utility and scalability in metric differential privacy. UAI 2022: 885-894 - [c3]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Communication-Efficient Triangle Counting under Local Differential Privacy. USENIX Security Symposium 2022: 537-554 - [i7]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Differentially Private Subgraph Counting in the Shuffle Model. CoRR abs/2205.01429 (2022) - [i6]Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Robustness of Locally Differentially Private Graph Analysis Against Poisoning. CoRR abs/2210.14376 (2022) - 2021
- [c2]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Locally Differentially Private Analysis of Graph Statistics. USENIX Security Symposium 2021: 983-1000 - [i5]Robi Bhattacharjee, Jacob Imola:
No-Substitution $k$-means Clustering with Low Center Complexity and Memory. CoRR abs/2102.09101 (2021) - [i4]Jacob Imola, Kamalika Chaudhuri:
Privacy Amplification Via Bernoulli Sampling. CoRR abs/2105.10594 (2021) - [i3]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Communication-Efficient Triangle Counting under Local Differential Privacy. CoRR abs/2110.06485 (2021) - 2020
- [i2]Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Locally Differentially Private Analysis of Graph Statistics. CoRR abs/2010.08688 (2020)
2010 – 2019
- 2019
- [c1]Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala:
Capacity Bounded Differential Privacy. NeurIPS 2019: 3469-3478 - [i1]Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala:
Capacity Bounded Differential Privacy. CoRR abs/1907.02159 (2019)
Coauthor Index
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