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2002.05839
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LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
Journal of Privacy and Confidentiality (JPC), 2020
14 February 2020
Ryan M. Rogers
S. Subramaniam
Sean Peng
D. Durfee
Seunghyun Lee
Santosh Kumar Kancha
Shraddha Sahay
P. Ahammad
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Papers citing
"LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale"
50 / 52 papers shown
Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease
Benjamin D. Ballyk
Ankit Gupta
Sujay Konda
Kavitha Subramanian
Chris Landon
Ahmed Ammar Naseer
Georg Maierhofer
Sumanth Swaminathan
Vasudevan Venkateshwaran
SyDa
374
0
0
29 Nov 2025
Differentially Private Wasserstein Barycenters
Anming Gu
Sasidhar Kunapuli
Mark Bun
Edward Chien
Kristjan Greenewald
OT
323
1
0
03 Oct 2025
Why Data Anonymization Has Not Taken Off
Customer Needs and Solutions (CNS), 2025
Matthew J. Schneider
James Bailie
Dawn Iacobucci
279
3
0
12 Sep 2025
Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond
Shokichi Takakura
Seng Pei Liew
Satoshi Hasegawa
107
1
0
05 Sep 2025
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
IEEE Symposium on Security and Privacy (S&P), 2025
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
338
1
0
10 May 2025
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
Liudas Panavas
Joshua Snoke
Erika Tyagi
C. Bowen
Aaron R. Williams
284
1
0
16 Dec 2024
Dimension-free Private Mean Estimation for Anisotropic Distributions
Neural Information Processing Systems (NeurIPS), 2024
Yuval Dagan
Michael I. Jordan
Xuelin Yang
Lydia Zakynthinou
Nikita Zhivotovskiy
421
2
0
01 Nov 2024
On the Use of Proxies in Political Ad Targeting
Piotr Sapiezynski
Levi Kaplan
A. Mislove
Aleksandra Korolova
162
4
0
18 Oct 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem
Annual Review of Statistics and Its Application (ARSIA), 2024
Weijie J. Su
373
8
0
14 Sep 2024
On Computing Pairwise Statistics with Local Differential Privacy
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Adam Sealfon
FedML
298
3
0
24 Jun 2024
Advances in Differential Privacy and Differentially Private Machine Learning
Saswat Das
Subhankar Mishra
309
9
0
06 Apr 2024
Private Count Release: A Simple and Scalable Approach for Private Data Analytics
Ryan Rogers
315
0
0
08 Mar 2024
Differentially Private Fair Binary Classifications
Hrad Ghoukasian
S. Asoodeh
FaML
281
6
0
23 Feb 2024
Mean estimation in the add-remove model of differential privacy
Alex Kulesza
A. Suresh
Yuyan Wang
255
10
0
11 Dec 2023
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Neural Information Processing Systems (NeurIPS), 2023
Edward Raff
Amol Khanna
Fred Lu
252
10
0
30 Oct 2023
Some Constructions of Private, Efficient, and Optimal
K
K
K
-Norm and Elliptic Gaussian Noise
Annual Conference Computational Learning Theory (COLT), 2023
Matthew Joseph
Alexander Yu
335
3
0
27 Sep 2023
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
Ryan Rogers
FedML
342
1
0
17 Sep 2023
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Journal of Privacy and Confidentiality (JPC), 2023
Lorin Sweeney
C. Bowen
Graham Healy
Andrés F. Barrientos
144
3
0
16 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Conference on Computer and Communications Security (CCS), 2023
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
492
18
0
27 Jul 2023
Turbo: Effective Caching in Differentially-Private Databases
Symposium on Operating Systems Principles (SOSP), 2023
Kelly Kostopoulou
Pierre Tholoniat
Asaf Cidon
Roxana Geambasu
Mathias Lécuyer
345
3
0
28 Jun 2023
Differentially Private Distributed Estimation and Learning
IISE Transactions (IISE Trans.), 2023
Marios Papachristou
M. Amin Rahimian
FedML
376
2
0
28 Jun 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
Edward Raff
M. Benaroch
Andrew L. Farris
AAML
235
6
0
16 Jun 2023
Coincidental Generation
Jordan W. Suchow
Necdet Gurkan
277
0
0
03 Apr 2023
Multi-Task Differential Privacy Under Distribution Skew
International Conference on Machine Learning (ICML), 2023
Walid Krichene
Prateek Jain
Shuang Song
Mukund Sundararajan
Abhradeep Thakurta
Li Zhang
FedML
271
3
0
15 Feb 2023
From Robustness to Privacy and Back
International Conference on Machine Learning (ICML), 2023
Hilal Asi
Jonathan R. Ullman
Lydia Zakynthinou
306
39
0
03 Feb 2023
Cohere: Managing Differential Privacy in Large Scale Systems
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Nicolas Küchler
Emanuel Opel
Hidde Lycklama
Alexander Viand
Anwar Hithnawi
276
9
0
20 Jan 2023
Towards Separating Computational and Statistical Differential Privacy
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Badih Ghazi
Rahul Ilango
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
366
5
0
31 Dec 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Gonzalo Munilla Garrido
Xiaoyuan Liu
Florian Matthes
Basel Alomair
308
36
0
07 Nov 2022
Anonymized Histograms in Intermediate Privacy Models
Neural Information Processing Systems (NeurIPS), 2022
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
PICV
452
3
0
27 Oct 2022
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Proceedings of the VLDB Endowment (PVLDB), 2022
Héber H. Arcolezi
Sébastien Gambs
Jean-François Couchot
C. Palamidessi
359
19
0
04 Sep 2022
Faster Privacy Accounting via Evolving Discretization
International Conference on Machine Learning (ICML), 2022
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
334
19
0
10 Jul 2022
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
Neural Information Processing Systems (NeurIPS), 2022
Jason M. Altschuler
Kunal Talwar
FedML
439
79
0
27 May 2022
Differential Privacy: What is all the noise about?
Roxana Dánger Mercaderes
144
3
0
19 May 2022
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?
Héber H. Arcolezi
Jean-François Couchot
Denis Renaud
Bechara al Bouna
X. Xiao
AI4TS
382
9
0
01 May 2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
Proceedings of the VLDB Endowment (PVLDB), 2022
Fumiyuki Kato
Tsubasa Takahashi
Shun Takagi
Yang Cao
Seng Pei Liew
Masatoshi Yoshikawa
341
8
0
14 Mar 2022
Information Design for Differential Privacy
ACM Conference on Economics and Computation (EC), 2021
Ian M. Schmutte
Nathan Yoder
421
3
0
11 Feb 2022
Plume: Differential Privacy at Scale
Kareem Amin
Jennifer Gillenwater
Matthew Joseph
Alex Kulesza
Sergei Vassilvitskii
250
15
0
27 Jan 2022
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets
Sachin Kadam
Anna Scaglione
Nikhil Ravi
S. Peisert
B. Lunghino
Aram Shumavon
172
0
0
23 Nov 2021
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
Héber H. Arcolezi
Jean-François Couchot
Bechara al Bouna
X. Xiao
230
39
0
08 Nov 2021
Multivariate Mean Comparison under Differential Privacy
Martin Dunsche
T. Kutta
Holger Dette
385
6
0
15 Oct 2021
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Héber H. Arcolezi
Jean-François Couchot
Bechara al Bouna
Xiaokui Xiao
169
36
0
15 Sep 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
473
55
0
24 Jun 2021
Decision Making with Differential Privacy under a Fairness Lens
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
229
54
0
16 May 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira
Allen Kim
Joshua Allen
Kevin White
J. L. Ferres
Rahul Dodhia
207
15
0
24 Mar 2021
A Central Limit Theorem for Differentially Private Query Answering
Neural Information Processing Systems (NeurIPS), 2021
Jinshuo Dong
Weijie J. Su
Linjun Zhang
205
20
0
15 Mar 2021
PrivSyn: Differentially Private Data Synthesis
Zhikun Zhang
Tianhao Wang
Ninghui Li
Jean Honorio
Michael Backes
Shibo He
Jiming Chen
Yang Zhang
SyDa
294
64
0
30 Dec 2020
Adversarial Manifold Estimation
Eddie Aamari
Alexander Knop
199
3
0
09 Nov 2020
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
Ryan M. Rogers
Adrian Rivera Cardoso
Koray Mancuhan
Akash Kaura
Nikhil T. Gahlawat
Neha Jain
Paul Ko
P. Ahammad
262
15
0
27 Oct 2020
Privacy Amplification via Random Check-Ins
Neural Information Processing Systems (NeurIPS), 2020
Borja Balle
Peter Kairouz
H. B. McMahan
Om Thakkar
Abhradeep Thakurta
FedML
378
81
0
13 Jul 2020
Understanding Unintended Memorization in Federated Learning
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Franccoise Beaufays
FedML
372
49
0
12 Jun 2020
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