Local Differential Privacy and Its Applications: A Comprehensive Survey

9 August 2020

Jun Zhao

Kwok-Yan Lam

Papers citing "Local Differential Privacy and Its Applications: A Comprehensive Survey"

23 / 23 papers shown

Title
Gaussian Differential Private Bootstrap by Subsampling Holger Dette Carina Graw 43 0 0 02 May 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy Shun Zhang Hai Zhu Zhili Chen N. Xiong 41 0 0 29 Apr 2025
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 44 0 0 11 Mar 2025
DPBloomfilter: Securing Bloom Filters with Differential Privacy Yekun Ke Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song 203 1 0 02 Feb 2025
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
Chained-DP: Can We Recycle Privacy Budget? Jingyi Li Guangjing Huang Liekang Zeng Lin Chen Xu Chen FedML 36 0 0 12 Sep 2023
Measuring Re-identification Risk CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin ... Andrés Munoz Medina Vahab Mirrokni Gabriel H. Nunes Sergei Vassilvitskii Peilin Zhong 20 9 0 12 Apr 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 39 3 0 18 Feb 2023
Federated Calibration and Evaluation of Binary Classifiers Graham Cormode Igor L. Markov FedML 38 4 0 22 Oct 2022
On the Statistical Complexity of Estimation and Testing under Privacy Constraints Clément Lalanne Aurélien Garivier Rémi Gribonval 27 7 0 05 Oct 2022
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy Shang Liu Yang Cao Takao Murakami Masatoshi Yoshikawa 15 6 0 06 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 37 9 0 22 Aug 2022
A normal approximation for joint frequency estimatation under Local Differential Privacy T. Carette 29 0 0 23 May 2022
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 31 13 0 04 Oct 2021
Subset Privacy: Draw from an Obfuscated Urn G. Wang Jie Ding 13 1 0 02 Jul 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 29 115 0 22 Oct 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness Lingjuan Lyu Xuanli He Yitong Li 35 89 0 03 Oct 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 436 0 04 Mar 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 33 122 0 04 Jun 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 150 420 0 29 Nov 2018
Optimal Differentially Private Mechanisms for Randomised Response N. Holohan D. Leith O. Mason 32 62 0 16 Dec 2016