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2406.02463
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Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
4 June 2024
Yingtai Xiao
Jian Du
Shikun Zhang
Qiang Yan
Qiang Yan
Danfeng Zhang
Daniel Kifer
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Papers citing
"Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy"
29 / 29 papers shown
On the Differential Privacy and Interactivity of Privacy Sandbox Reports
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Badih Ghazi
Charlie Harrison
Arpana Hosabettu
Pritish Kamath
Alexander Knop
...
Ethan Leeman
Pasin Manurangsi
Vikas Sahu
Vikas Sahu
Phillipp Schoppmann
644
4
0
22 Dec 2024
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Jessica Smith
David Williams
Emily Brown
274
1
0
16 Sep 2024
Differentially Private Ad Conversion Measurement
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
John Delaney
Badih Ghazi
Charlie Harrison
Christina Ilvento
Ravi Kumar
Pasin Manurangsi
Martin Pal
Karthik Prabhakar
Mariana Raykova
302
6
0
22 Mar 2024
AnonPSI: An Anonymity Assessment Framework for PSI
IACR Cryptology ePrint Archive (IACR ePrint), 2023
Bo Jiang
Jian Du
Qiang Yan
183
13
0
29 Nov 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training
Neural Information Processing Systems (NeurIPS), 2023
Christopher A. Choquette-Choo
Arun Ganesh
Ryan McKenna
H. B. McMahan
Keith Rush
Abhradeep Thakurta
Zheng Xu
FedML
529
59
0
13 Jun 2023
ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
Yingtai Xiao
Guanlin He
Qiang Yan
Zeyu Ding
Danfeng Zhang
Daniel Kifer
392
4
0
14 May 2023
Differentially Private Stream Processing at Scale
Proceedings of the VLDB Endowment (PVLDB), 2023
Bing Zhang
Vadym Doroshenko
Peter Kairouz
Thomas Steinke
Abhradeep Thakurta
Zi-Tang Ma
Eidan Cohen
Himani Apte
Jodi Spacek
319
15
0
31 Mar 2023
Continual Mean Estimation Under User-Level Privacy
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Anand George
Lekshmi Ramesh
A. V. Singh
Himanshu Tyagi
FedML
196
12
0
20 Dec 2022
Answering Private Linear Queries Adaptively using the Common Mechanism
Proceedings of the VLDB Endowment (PVLDB), 2022
Yingtai Xiao
Guanhong Wang
Qiang Yan
Daniel Kifer
312
9
0
30 Nov 2022
Private Ad Modeling with DP-SGD
Carson E. Denison
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Krishnagiri Narra
Amer Sinha
A. Varadarajan
Chiyuan Zhang
427
15
0
21 Nov 2022
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
International Conference on Machine Learning (ICML), 2022
Christopher A. Choquette-Choo
H. B. McMahan
Keith Rush
Abhradeep Thakurta
336
62
0
12 Nov 2022
Almost Tight Error Bounds on Differentially Private Continual Counting
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
FedML
348
48
0
09 Nov 2022
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2022
Travis Dick
Cynthia Dwork
Michael Kearns
Terrance Liu
Aaron Roth
G. Vietri
Zhiwei Steven Wu
271
41
0
06 Nov 2022
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
279
65
0
09 Aug 2022
Algorithms for bounding contribution for histogram estimation under user-level privacy
International Conference on Machine Learning (ICML), 2022
Yuhan Liu
A. Suresh
Wennan Zhu
Peter Kairouz
Marco Gruteser
211
13
0
07 Jun 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
Neural Information Processing Systems (NeurIPS), 2022
S. Denisov
H. B. McMahan
J. Rush
Adam D. Smith
Abhradeep Thakurta
FedML
494
87
0
16 Feb 2022
Masked LARk: Masked Learning, Aggregation and Reporting worKflow
Joseph J. Pfeiffer
Denis Xavier Charles
Davis Gilton
Young Hun Jung
Mehul Parsana
Erik Anderson
228
11
0
27 Oct 2021
Differentially Private Algorithms for Graphs Under Continual Observation
Embedded Systems and Applications (ESA), 2021
Hendrik Fichtenberger
Monika Henzinger
Lara Ost
335
46
0
28 Jun 2021
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy
Ryan McKenna
G. Miklau
Michael Hay
Ashwin Machanavajjhala
243
23
0
23 Jun 2021
Improved Matrix Gaussian Mechanism for Differential Privacy
Jungang Yang
Liyao Xiang
Weiting Li
Wei Liu
Xinbing Wang
191
6
0
30 Apr 2021
Privacy in Targeted Advertising: A Survey
Imdad Ullah
R. Boreli
S. Kanhere
345
22
0
15 Sep 2020
Differentially Private SQL with Bounded User Contribution
Proceedings on Privacy Enhancing Technologies (PoPETs), 2019
Royce J. Wilson
Celia Yuxin Zhang
William K. C. Lam
Damien Desfontaines
Daniel Simmons-Marengo
Bryant Gipson
367
168
0
04 Sep 2019
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search
Marcelo Tallis
Pranjul Yadav
213
34
0
25 May 2018
MVG Mechanism: Differential Privacy under Matrix-Valued Query
Thee Chanyaswad
Alex Dytso
H. Vincent Poor
Prateek Mittal
396
55
0
02 Jan 2018
Towards Practical Differential Privacy for SQL Queries
Noah M. Johnson
Joseph P. Near
Basel Alomair
421
293
0
28 Jun 2017
Deep Learning with Differential Privacy
Conference on Computer and Communications Security (CCS), 2016
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
2.1K
7,480
0
01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
478
955
0
06 May 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Conference on Computer and Communications Security (CCS), 2014
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
529
2,219
0
25 Jul 2014
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy
Ganzhao Yuan
Zhenjie Zhang
Marianne Winslett
Xiaokui Xiao
Yifan Yang
Zijian Li
242
89
0
11 Dec 2012
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