Jacob Imola - RankMe

25 papers A* 8A 2B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentially Private Quantiles with Smaller Error. CoRR Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh
2025	A*	`conf`	Lightweight Protocols for Distributed Private Quantile Estimation. ICML Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh
2025	J	`jnl`	Lightweight Protocols for Distributed Private Quantile Estimation. CoRR Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh
2025	J	`jnl`	Piquantϵ: Private Quantile Estimation in the Two-Server Model. CoRR Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury
2025	A	`conf`	Robust Locally Differentially Private Graph Analysis. AsiaCCS Amrita Roy Chowdhury, Jacob Imola, Kamalika Chaudhuri
2024	A*	`conf`	Metric Differential Privacy at the User-Level via the Earth-Mover's Distance. CCS Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
2024	J	`jnl`	Metric Differential Privacy at the User-Level. CoRR Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
2023	A*	`conf`	Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni
2023	J	`jnl`	Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni
2023	B	`conf`	Online k-means Clustering on Arbitrary Data Streams. ALT Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta
2023	—	`—`	Private Graph Statistics and Algorithms in Modern Applications Jacob Imola
2023	A*	`conf`	Private estimation algorithms for stochastic block models and mixture models. NeurIPS Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
2023	J	`jnl`	Private estimation algorithms for stochastic block models and mixture models. CoRR Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
2022	A	`conf`	Balancing utility and scalability in metric differential privacy. UAI Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier
2022	A*	`conf`	Communication-Efficient Triangle Counting under Local Differential Privacy. USENIX Security Symposium Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2022	J	`jnl`	Differentially Private Subgraph Counting in the Shuffle Model. CoRR Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2022	A*	`conf`	Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model. CCS Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2022	J	`jnl`	Robustness of Locally Differentially Private Graph Analysis Against Poisoning. CoRR Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
2021	J	`jnl`	Communication-Efficient Triangle Counting under Local Differential Privacy. CoRR Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2021	A*	`conf`	Locally Differentially Private Analysis of Graph Statistics. USENIX Security Symposium Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2021	J	`jnl`	No-Substitution $k$-means Clustering with Low Center Complexity and Memory. CoRR Robi Bhattacharjee, Jacob Imola
2021	J	`jnl`	Privacy Amplification Via Bernoulli Sampling. CoRR Jacob Imola, Kamalika Chaudhuri
2020	J	`jnl`	Locally Differentially Private Analysis of Graph Statistics. CoRR Jacob Imola, Takao Murakami, Kamalika Chaudhuri
2019	A*	`conf`	Capacity Bounded Differential Privacy. NeurIPS Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
2019	J	`jnl`	Capacity Bounded Differential Privacy. CoRR Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala