Differentially Private $k$ -Means Clustering

22 April 2015

Papers citing "Differentially Private $k$-Means Clustering"

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Title
Approximate DBSCAN under Differential Privacy Yuan Qiu K. Yi 108 1 0 12 Aug 2025
Private Training & Data Generation by Clustering Embeddings Felix Y. Zhou Samson Zhou Vahab Mirrokni Alessandro Epasto Vincent Cohen-Addad 186 0 0 20 Jun 2025
Differentially Private Explanations for Clusters Amir Gilad Tova Milo Kathy Razmadze Ron Zadicario 178 0 0 06 Jun 2025
Clustering and Median Aggregation Improve Differentially Private Inference Kareem Amin Salman Avestimehr Sara Babakniya Alex Bie Weiwei Kong Natalia Ponomareva Umar Syed 252 5 0 05 Jun 2025
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro MIACV 344 2 0 11 Apr 2025
Privacy-Preserving Vertical K-Means Clustering Federico Mazzone Trevor Brown Florian Kerschbaum Kevin H. Wilson Maarten Everts Florian Hahn Andreas Peter 117 0 0 10 Apr 2025
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro 357 4 0 09 Apr 2025
From Easy to Hard: Building a Shortcut for Differentially Private Image SynthesisIEEE Symposium on Security and Privacy (S&P), 2025 Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 242 5 0 02 Apr 2025
Aggregating Data for Optimal and Private Learning Sushant Agarwal Yukti Makhija Rishi Saket A. Raghuveer FedML 378 0 0 28 Nov 2024
FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy Abdulrahman Diaa Thomas Humphries Florian Kerschbaum FedML 414 2 0 03 May 2024
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 287 1 0 02 May 2024
Online Differentially Private Synthetic Data Generation Yiyun He Roman Vershynin Yizhe Zhu SyDa 156 5 0 12 Feb 2024
DPM: Clustering Sensitive Data through SeparationConference on Computer and Communications Security (CCS), 2023 Yara Schutt Johannes Liebenow Tanya Braun Marcel Gehrke Florian Thaeter Esfandiar Mohammadi 193 1 0 06 Jul 2023
Personalized Privacy Amplification via Importance Sampling Dominik Fay Sebastian Mair Jens Sjölund 314 0 0 05 Jul 2023
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 648 54 0 24 May 2023
Improving the Utility of Differentially Private Clustering through Dynamical ProcessingPattern Recognition (Pattern Recogn.), 2023 Junyoung Byun Yujin Choi Jaewoo Lee 249 2 0 27 Apr 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential PrivacyJournal of Artificial Intelligence Research (JAIR), 2023 Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 470 235 0 01 Mar 2023
Certified private data release for sparse Lipschitz functionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Konstantin Donhauser J. Lokna Amartya Sanyal M. Boedihardjo R. Honig Fanny Yang 261 4 0 19 Feb 2023
Algorithmically Effective Differentially Private Synthetic DataAnnual Conference Computational Learning Theory (COLT), 2023 Yi He Roman Vershynin Yizhe Zhu SyDa 163 11 0 11 Feb 2023
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality Devvrat Joshi Janvi Thakkar 80 3 0 07 Jan 2023
DiPPS: Differentially Private Propensity Scores for Bias CorrectionInternational Conference on Web and Social Media (ICWSM), 2022 Liang Chen Valentin Hartmann Robert West 215 1 0 05 Oct 2022
On the Choice of Databases in Differential Privacy Composition Valentin Hartmann Vincent Bindschaedler Robert West 175 0 0 27 Sep 2022
I still know it's you! On Challenges in Anonymizing Source CodeProceedings on Privacy Enhancing Technologies (PoPETs), 2022 Micha Horlboge Erwin Quiring R. Meyer Konrad Rieck 161 4 0 26 Aug 2022
Differentially Private Vertical Federated ClusteringProceedings of the VLDB Endowment (PVLDB), 2022 Zitao Li Tianhao Wang Ninghui Li FedML 275 23 0 02 Aug 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey Abdul Rahman Sani M. Hassan Jinjun Chen 265 14 0 17 May 2022
Securing Federated Sensitive Topic Classification against Poisoning AttacksNetwork and Distributed System Security Symposium (NDSS), 2022 Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 257 15 0 31 Jan 2022
Differentially-Private Clustering of Easy InstancesInternational Conference on Machine Learning (ICML), 2021 E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer Eliad Tsfadia 193 27 0 29 Dec 2021
Differentially-Private Sublinear-Time ClusteringInternational Symposium on Information Theory (ISIT), 2021 Jeremiah Blocki Elena Grigorescu Tamalika Mukherjee 130 6 0 27 Dec 2021
Privacy-Preserving Synthetic Location Data in the Real WorldInternational Symposium on Spatial and Temporal Databases (SSTD), 2021 Teddy Cunningham Graham Cormode Hakan Ferhatosmanoglu 167 23 0 04 Aug 2021
Differentially Private Algorithms for Clustering with Stability Assumptions M. Shechner 165 2 0 11 Jun 2021
Locally Private k-Means in One RoundInternational Conference on Machine Learning (ICML), 2021 Alisa Chang Badih Ghazi Ravi Kumar Pasin Manurangsi 190 37 0 20 Apr 2021
Achieving differential privacy for $k$ -nearest neighbors based outlier detection by data partitioning Jens Rauch Iyiola E. Olatunji Megha Khosla 111 1 0 16 Apr 2021
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Haiyan Zhao Hanshen Xiao S. Devadas Jinhui Xu 173 64 0 21 Oct 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and AnalysisItalian National Conference on Sensors (INS), 2020 Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 253 101 0 11 Oct 2020
Utility-efficient Differentially Private K-means Clustering based on Cluster MergingNeurocomputing (Neurocomputing), 2020 Tianjiao Ni Minghao Qiao Zhili Chen Shun Zhang Hong Zhong FedML 120 33 0 03 Oct 2020
Differentially Private Clustering: Tight Approximation Ratios Badih Ghazi Ravi Kumar Pasin Manurangsi 193 60 0 18 Aug 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 261 78 0 22 Jul 2020
Balance is key: Private median splits yield high-utility random trees Shorya Consul Sinead Williamson 201 2 0 15 Jun 2020
Differentially Private k-Means Clustering with Guaranteed ConvergenceIEEE Transactions on Dependable and Secure Computing (TDSC), 2020 Zhigang Lu Hong Shen 68 3 0 03 Feb 2020
SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication Boel Nelson Jenni Reuben 174 5 0 30 Oct 2019
Locally Private k-Means ClusteringACM-SIAM Symposium on Discrete Algorithms (SODA), 2019 Uri Stemmer FedML 299 66 0 04 Jul 2019
Diffprivlib: The IBM Differential Privacy Library N. Holohan S. Braghin Pól Mac Aonghusa Killian Levacher SyDa 184 160 0 04 Jul 2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMMathematical and Scientific Machine Learning (MSML), 2019 Bao Wang Quanquan Gu M. Boedihardjo Farzin Barekat Stanley J. Osher 276 29 0 28 Jun 2019
Distributed Clustering in the Anonymized Space with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye 165 8 0 27 Jun 2019
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach Zhitao Guan Zefang Lv Xiaojiang Du Longfei Wu Mohsen Guizani 108 67 0 08 Feb 2019
The Power of The Hybrid Model for Mean Estimation Brendan Avent Yatharth Dubey Aleksandra Korolova 348 18 0 29 Nov 2018
Differentially Private Releasing via Deep Generative Model (Technical Report) Xinyang Zhang S. Ji Ting Wang SyDa 216 73 0 05 Jan 2018
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 211 127 0 13 Sep 2017
Postprocessing for Iterative Differentially Private Algorithms Jaewoo Lee Daniel Kifer 60 0 0 12 Sep 2016
DP-EM: Differentially Private Expectation Maximization Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 188 8 0 23 May 2016

Differentially Private kkk-Means Clustering

Papers citing "Differentially Private $k$-Means Clustering"

Differentially Private $k$ -Means Clustering