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1907.11908
Cited By
Local Differential Privacy: a tutorial
27 July 2019
Björn Bebensee
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Papers citing
"Local Differential Privacy: a tutorial"
19 / 19 papers shown
Title
Aggregating Data for Optimal and Private Learning
Sushant Agarwal
Yukti Makhija
Rishi Saket
A. Raghuveer
FedML
160
0
0
28 Nov 2024
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models
Deniz Daum
Richard Osuala
Anneliese Riess
Georgios Kaissis
Julia A. Schnabel
Maxime Di Folco
MedIm
69
2
0
23 Jul 2024
K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local Differential Privacy
Henan Sun
Zhengyu Wu
Ronghua Li
Guoren Wang
Zening Li
77
0
0
04 Mar 2024
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda
J. Blumenstock
Nitin Kohli
47
5
0
08 Oct 2023
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions
Alycia N. Carey
Minh-Hao Van
Xintao Wu
46
1
0
15 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
109
13
0
31 Aug 2023
Summary Statistic Privacy in Data Sharing
Zinan Lin
Shuaiqi Wang
Vyas Sekar
Giulia Fanti
69
7
0
03 Mar 2023
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
73
7
0
05 Oct 2022
DPAUC: Differentially Private AUC Computation in Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
75
12
0
25 Aug 2022
Differentially Private AUC Computation in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
86
5
0
24 May 2022
Differential Privacy: What is all the noise about?
Roxana Dánger Mercaderes
50
3
0
19 May 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions
Brian Hildebrand
Mohamed Baza
Tara Salman
Fathi H. Amsaad
Abdul Razaqu
Abdullah Alourani
81
48
0
21 Mar 2022
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
60
20
0
26 Oct 2021
When Differential Privacy Meets Interpretability: A Case Study
Rakshit Naidu
Aman Priyanshu
Aadith Kumar
Sasikanth Kotti
Haofan Wang
Fatemehsadat Mireshghallah
76
9
0
24 Jun 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
66
13
0
24 Feb 2021
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Linshan Jiang
Rui Tan
Xin Lou
Guosheng Lin
54
12
0
11 Dec 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
90
88
0
11 Oct 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
89
146
0
09 Aug 2020
Benchmarking Differentially Private Residual Networks for Medical Imagery
Sahib Singh
Harshvardhan Digvijay Sikka
Sasikanth Kotti
Andrew Trask
48
7
0
27 May 2020
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