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Efficient Private Statistics with Succinct Sketches

25 August 2015

Luca Melis

G. Danezis

Emiliano De Cristofaro

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Papers citing "Efficient Private Statistics with Succinct Sketches"

41 / 41 papers shown

Title
Synopsis: Secure and private trend inference from encrypted semantic embeddings Madelyne Xiao Palak Jain Micha Gorelick Sarah Scheffler 319 0 0 29 May 2025
Differentially Private Set Representations Sarvar Patel G. Persiano Joon Young Seo Kevin Yeo 159 0 0 28 Jan 2025
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 162 0 0 30 Nov 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data B. Das M. H. Amini Yanzhao Wu 44 0 0 27 Sep 2024
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report) Yiping Wang Yanhao Wang Cen Chen 65 1 0 12 Jun 2024
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System Shibam Mukherjee Roman Walch Fredrik Meisingseth Elisabeth Lex Christian Rechberger 33 0 0 30 May 2024
VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets Mohammed Alghazwi Dewi Davies-Batista Dimka Karastoyanova Fatih Turkmen 30 0 0 22 Mar 2024
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images B. Das M. H. Amini Yanzhao Wu 54 7 0 11 Nov 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning Yiping Ma Jess Woods Sebastian Angel Antigoni Polychroniadou T. Rabin FedML 89 56 0 19 Aug 2023
Federated Heavy Hitter Recovery under Linear Sketching Adria Gascon Peter Kairouz Ziteng Sun A. Suresh FedML 54 1 0 25 Jul 2023
Amplification by Shuffling without Shuffling Borja Balle James Bell Adria Gascon FedML 79 2 0 18 May 2023
Random measure priors in Bayesian recovery from sketches Mario Beraha Stefano Favaro Matteo Sesia 96 2 0 27 Mar 2023
SoK: Content Moderation for End-to-End Encryption Sarah Scheffler Jonathan R. Mayer 77 24 0 07 Mar 2023
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data Stefano Favaro Matteo Sesia 27 0 0 05 Sep 2022
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure Dinusha Vatsalan Raghav Bhaskar M. Kâafar 19 4 0 10 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 86 8 0 28 Jul 2022
Accountable Private Set Cardinality for Distributed Measurement Ellis Fenske A. Mani Aaron Johnson Micah Sherr 13 5 0 30 Jun 2022
Improved Utility Analysis of Private CountSketch Rasmus Pagh M. Thorup FedML 94 20 0 17 May 2022
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization Yifeng Zheng Shangqi Lai Yi Liu Lizhen Qu X. Yi Cong Wang FedML 70 87 0 04 Feb 2022
Fighting Fake News in Encrypted Messaging with the Fuzzy Anonymous Complaint Tally System (FACTS) Linsheng Liu Daniel S. Roche Austin Theriault Arkady Yerukhimovich 23 20 0 09 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 88 105 0 10 Aug 2021
Self-Determined Reciprocal Recommender System with Strong Privacy Guarantees Saskia Nuñez von Voigt Erik Daniel Florian Tschorsch 8 2 0 14 Jul 2021
Zeph: Cryptographic Enforcement of End-to-End Data Privacy Lukas Burkhalter Nicolas Küchler Alexander Viand Hossein Shafagh Anwar Hithnawi 49 31 0 08 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 88 61 0 07 Jul 2021
Lightweight Techniques for Private Heavy Hitters Dan Boneh Elette Boyle Henry Corrigan-Gibbs N. Gilboa Yuval Ishai 135 114 0 29 Dec 2020
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics Rishabh Poddar Sukrit Kalra Avishay Yanai Ryan Deng Raluca A. Popa J. M. Hellerstein 97 69 0 26 Oct 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning Weituo Hao Nikhil Mehta Kevin J. Liang Pengyu Cheng Mostafa El-Khamy Lawrence Carin FedML 78 13 0 13 Aug 2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization Jiazhi Xia Tianxiang Chen Lei Zhang Wei Chen Yang Chen X. Zhang C. Xie Tobias Schreck 92 11 0 30 Jul 2020
Pure Differentially Private Summation from Anonymous Messages Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Rasmus Pagh A. Velingker FedML 120 46 0 05 Feb 2020
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 67 21 0 05 Nov 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 116 57 0 24 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 143 4,562 0 21 Aug 2019
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets D. Froelicher J. Troncoso-Pastoriza João Sá Sousa Jean-Pierre Hubaux OOD SyDa 96 50 0 11 Feb 2019
TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control Shuai Guo Anwar Hithnawi Alexander Viand Mingming Zhang Sylvia Ratnasamy AI4TS 40 34 0 08 Nov 2018
On Collaborative Predictive Blacklisting Luca Melis Apostolos Pyrgelis Emiliano De Cristofaro 13 10 0 05 Oct 2018
Cardinality Estimators do not Preserve Privacy Damien Desfontaines Andreas Lochbihler David Basin 46 52 0 17 Aug 2018
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization Mathias Lécuyer Riley Spahn Roxana Geambasu Tzu-Kuo Huang S. Sen 22 9 0 21 May 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics Henry Corrigan-Gibbs Dan Boneh 52 354 0 18 Mar 2017
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro 72 57 0 01 Mar 2017
Privacy-Friendly Mobility Analytics using Aggregate Location Data Apostolos Pyrgelis Emiliano De Cristofaro Gordon J. Ross 44 17 0 21 Sep 2016
Building and Measuring Privacy-Preserving Predictive Blacklists Luca Melis Apostolos Pyrgelis Emiliano De Cristofaro 31 2 0 13 Dec 2015