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Efficient Private Statistics with Succinct Sketches
Network and Distributed System Security Symposium (NDSS), 2015
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
Synopsis: Secure and private trend inference from encrypted semantic embeddings
Madelyne Xiao
Palak Jain
Micha Gorelick
Sarah Scheffler
537
0
0
29 May 2025
Differentially Private Set Representations
Neural Information Processing Systems (NeurIPS), 2025
Sarvar Patel
G. Persiano
Joon Young Seo
Kevin Yeo
416
0
0
28 Jan 2025
Distributed Differentially Private Data Analytics via Secure Sketching
IACR Cryptology ePrint Archive (IACR ePrint), 2024
Jakob Burkhardt
Hannah Keller
Claudio Orlandi
Chris Schwiegelshohn
FedML
480
1
0
30 Nov 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
208
2
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
180
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
181
1
0
30 May 2024
VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
Mohammed Alghazwi
Dewi Davies-Batista
Dimka Karastoyanova
Fatih Turkmen
164
1
0
22 Mar 2024
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
B. Das
M. H. Amini
Yanzhao Wu
334
10
0
11 Nov 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yiping Ma
Jess Woods
Sebastian Angel
Antigoni Polychroniadou
T. Rabin
FedML
381
93
0
19 Aug 2023
Federated Heavy Hitter Recovery under Linear Sketching
International Conference on Machine Learning (ICML), 2023
Adria Gascon
Peter Kairouz
Ziteng Sun
A. Suresh
FedML
212
1
0
25 Jul 2023
Amplification by Shuffling without Shuffling
Conference on Computer and Communications Security (CCS), 2023
Borja Balle
James Bell
Adria Gascon
FedML
349
5
0
18 May 2023
Random measure priors in Bayesian recovery from sketches
Journal of machine learning research (JMLR), 2023
Mario Beraha
Stefano Favaro
Matteo Sesia
367
3
0
27 Mar 2023
SoK: Content Moderation for End-to-End Encryption
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Sarah Scheffler
Jonathan R. Mayer
303
33
0
07 Mar 2023
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data
Stefano Favaro
Matteo Sesia
114
0
0
05 Sep 2022
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Dinusha Vatsalan
Raghav Bhaskar
M. Kâafar
178
5
0
10 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Sinem Sav
Abdulrahman Diaa
Apostolos Pyrgelis
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
314
11
0
28 Jul 2022
Accountable Private Set Cardinality for Distributed Measurement
ACM Transactions on Privacy and Security (TOPS), 2022
Ellis Fenske
A. Mani
Aaron Johnson
Micah Sherr
88
5
0
30 Jun 2022
Improved Utility Analysis of Private CountSketch
Neural Information Processing Systems (NeurIPS), 2022
Rasmus Pagh
M. Thorup
FedML
298
23
0
17 May 2022
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Yifeng Zheng
Shangqi Lai
Yi Liu
Lizhen Qu
X. Yi
Cong Wang
FedML
228
120
0
04 Feb 2022
Fighting Fake News in Encrypted Messaging with the Fuzzy Anonymous Complaint Tally System (FACTS)
IACR Cryptology ePrint Archive (IACR ePrint), 2021
Linsheng Liu
Daniel S. Roche
Austin Theriault
Arkady Yerukhimovich
133
25
0
09 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
237
156
0
10 Aug 2021
Self-Determined Reciprocal Recommender System with Strong Privacy Guarantees
ARES (ARES), 2021
Saskia Nuñez von Voigt
Erik Daniel
Florian Tschorsch
65
2
0
14 Jul 2021
Zeph: Cryptographic Enforcement of End-to-End Data Privacy
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
Lukas Burkhalter
Nicolas Küchler
Alexander Viand
Hossein Shafagh
Anwar Hithnawi
168
35
0
08 Jul 2021
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama
Lukas Burkhalter
Alexander Viand
Nicolas Küchler
Anwar Hithnawi
FedML
394
111
0
07 Jul 2021
Lightweight Techniques for Private Heavy Hitters
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Dan Boneh
Elette Boyle
Henry Corrigan-Gibbs
N. Gilboa
Yuval Ishai
349
134
0
29 Dec 2020
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics
IACR Cryptology ePrint Archive (IACR ePrint), 2020
Rishabh Poddar
Sukrit Kalra
Avishay Yanai
Ryan Deng
Raluca A. Popa
J. M. Hellerstein
212
89
0
26 Oct 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning
IEEE Access (IEEE Access), 2020
Weituo Hao
Nikhil Mehta
Kevin J. Liang
Pengyu Cheng
Mostafa El-Khamy
Lawrence Carin
FedML
260
15
0
13 Aug 2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
IEEE Conference on Visual Analytics Science and Technology (VAST), 2020
Jiazhi Xia
Tianxiang Chen
Lei Zhang
Wei Chen
Yang Chen
X. Zhang
C. Xie
Tobias Schreck
294
11
0
30 Jul 2020
Pure Differentially Private Summation from Anonymous Messages
International Test Conference (ITC), 2020
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
345
50
0
05 Feb 2020
Enhancing the Privacy of Federated Learning with Sketching
Zaoxing Liu
Tian Li
Virginia Smith
Vyas Sekar
FedML
132
22
0
05 Nov 2019
Private Aggregation from Fewer Anonymous Messages
International Conference on the Theory and Application of Cryptographic Techniques (EUROCRYPT), 2019
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
241
57
0
24 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine (IEEE SPM), 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
1.9K
5,764
0
21 Aug 2019
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019
D. Froelicher
J. Troncoso-Pastoriza
João Sá Sousa
Jean-Pierre Hubaux
OOD
SyDa
331
61
0
11 Feb 2019
TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control
Symposium on Networked Systems Design and Implementation (NSDI), 2018
Shuai Guo
Anwar Hithnawi
Alexander Viand
Mingming Zhang
Sylvia Ratnasamy
AI4TS
276
47
0
08 Nov 2018
On Collaborative Predictive Blacklisting
Luca Melis
Apostolos Pyrgelis
Emiliano De Cristofaro
112
13
0
05 Oct 2018
Cardinality Estimators do not Preserve Privacy
Damien Desfontaines
Andreas Lochbihler
David Basin
216
53
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
218
9
0
21 May 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
Henry Corrigan-Gibbs
Dan Boneh
252
420
0
18 Mar 2017
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy
Apostolos Pyrgelis
Carmela Troncoso
Emiliano De Cristofaro
301
59
0
01 Mar 2017
Privacy-Friendly Mobility Analytics using Aggregate Location Data
Apostolos Pyrgelis
Emiliano De Cristofaro
Gordon J. Ross
271
17
0
21 Sep 2016
Building and Measuring Privacy-Preserving Predictive Blacklists
Luca Melis
Apostolos Pyrgelis
Emiliano De Cristofaro
317
2
0
13 Dec 2015
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