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Differentially Private Set Union
v1v2 (latest)

Differentially Private Set Union

International Conference on Machine Learning (ICML), 2020
22 February 2020
Sivakanth Gopi
P. Gulhane
Janardhan Kulkarni
J. Shen
Milad Shokouhi
Sergey Yekhanin
    FedML
ArXiv (abs)PDFHTML

Papers citing "Differentially Private Set Union"

21 / 21 papers shown
Practical Considerations for Differential Privacy
Practical Considerations for Differential Privacy
Kareem Amin
Alex Kulesza
Sergei Vassilvitskii
254
5
0
14 Aug 2024
Federated Graph Analytics with Differential Privacy
Federated Graph Analytics with Differential Privacy
Shang Liu
Yang Cao
Takao Murakami
Weiran Liu
Seng Pei Liew
Tsubasa Takahashi
Jinfei Liu
Masatoshi Yoshikawa
FedML
193
2
0
31 May 2024
Private Count Release: A Simple and Scalable Approach for Private Data
  Analytics
Private Count Release: A Simple and Scalable Approach for Private Data Analytics
Ryan Rogers
339
0
0
08 Mar 2024
Membership Inference Attacks and Privacy in Topic Modeling
Membership Inference Attacks and Privacy in Topic Modeling
Nico Manzonelli
Wanrong Zhang
Salil P. Vadhan
211
1
0
07 Mar 2024
Sparsity-Preserving Differentially Private Training of Large Embedding
  Models
Sparsity-Preserving Differentially Private Training of Large Embedding ModelsNeural Information Processing Systems (NeurIPS), 2023
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chiyuan Zhang
339
6
0
14 Nov 2023
Differentially Private Heavy Hitter Detection using Federated Analytics
Differentially Private Heavy Hitter Detection using Federated Analytics
Karan N. Chadha
Junye Chen
John C. Duchi
Vitaly Feldman
H. Hashemi
O. Javidbakht
Audra McMillan
Kunal Talwar
FedML
284
12
0
21 Jul 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
Differentially Private Synthetic Data via Foundation Model APIs 1: ImagesInternational Conference on Learning Representations (ICLR), 2023
Zinan Lin
Sivakanth Gopi
Janardhan Kulkarni
Harsha Nori
Sergey Yekhanin
761
62
0
24 May 2023
DP-SIPS: A simpler, more scalable mechanism for differentially private
  partition selection
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selectionProceedings on Privacy Enhancing Technologies (PoPETs), 2023
Marika Swanberg
Damien Desfontaines
Samuel Haney
261
10
0
05 Jan 2023
Private Federated Statistics in an Interactive Setting
Private Federated Statistics in an Interactive Setting
Audra McMillan
O. Javidbakht
Kunal Talwar
Elliot Briggs
Mike Chatzidakis
...
Paul J. Pelzl
Rehan Rishi
Congzheng Song
Shan Wang
Shundong Zhou
FedML
313
8
0
18 Nov 2022
Secure Federated Clustering
Secure Federated ClusteringIACR Cryptology ePrint Archive (IACR ePrint), 2022
Songze Li
Sizai Hou
Baturalp Buyukates
A. Avestimehr
FedML
248
15
0
31 May 2022
Evaluation of Open-source Tools for Differential Privacy
Evaluation of Open-source Tools for Differential PrivacyItalian National Conference on Sensors (INS), 2022
Shiliang Zhang
Anton Hagermalm
Sanjin Slavnic
E. Schiller
Magnus Almgren
327
14
0
19 Feb 2022
Plume: Differential Privacy at Scale
Plume: Differential Privacy at Scale
Kareem Amin
Jennifer Gillenwater
Matthew Joseph
Alex Kulesza
Sergei Vassilvitskii
250
15
0
27 Jan 2022
Submix: Practical Private Prediction for Large-Scale Language Models
Submix: Practical Private Prediction for Large-Scale Language Models
Antonio A. Ginart
Laurens van der Maaten
James Zou
Chuan Guo
221
30
0
04 Jan 2022
Differentially Private n-gram Extraction
Differentially Private n-gram ExtractionNeural Information Processing Systems (NeurIPS), 2021
Kunho Kim
Sivakanth Gopi
Janardhan Kulkarni
Sergey Yekhanin
148
18
0
05 Aug 2021
Language Scaling for Universal Suggested Replies Model
Language Scaling for Universal Suggested Replies ModelNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Qianlan Ying
Payal Bajaj
Budhaditya Deb
Yu Yang
Wei Wang
Bojia Lin
Milad Shokouhi
Xia Song
Yang Yang
Daxin Jiang
LRM
175
2
0
04 Jun 2021
On Privacy and Confidentiality of Communications in Organizational
  Graphs
On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad
Huseyin A. Inan
Marcello Hasegawa
Robert Sim
217
2
0
27 May 2021
N-grams Bayesian Differential Privacy
N-grams Bayesian Differential Privacy
Osman Ramadan
James Withers
Douglas Orr
149
0
0
29 Jan 2021
Differentially Private Weighted Sampling
Differentially Private Weighted SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
E. Cohen
Ofir Geri
Tamás Sarlós
Uri Stemmer
411
6
0
25 Oct 2020
Distributed Differentially Private Mutual Information Ranking and Its
  Applications
Distributed Differentially Private Mutual Information Ranking and Its ApplicationsIEEE International Conference on Information Reuse and Integration (IRI), 2020
Ankit Srivastava
Samira Pouyanfar
Joshua Allen
Ken Johnston
Qida Ma
125
0
0
22 Sep 2020
Differentially private partition selection
Differentially private partition selection
Damien Desfontaines
James R. Voss
Bryant Gipson
Chinmoy Mandayam
FedML
396
24
0
05 Jun 2020
Privacy in Deep Learning: A Survey
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
606
149
0
25 Apr 2020
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