Collecting and Analyzing Multidimensional Data with Local Differential Privacy

28 June 2019

Papers citing "Collecting and Analyzing Multidimensional Data with Local Differential Privacy"

50 / 66 papers shown

Title
A Novel Approach to Differential Privacy with Alpha Divergence Yifeng Liu Zehua Wang 9 0 0 20 Jun 2025
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols Longzhu He Chaozhuo Li Peng Tang Litian Zhang Sen Su Philip S. Yu AAML 47 0 0 11 Jun 2025
Mitigating Data Poisoning Attacks to Local Differential Privacy Xiaolin Li Ninghui Li Boyang Wang Wenhai Sun AAML 50 0 0 02 Jun 2025
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy Ye Zheng Sumita Mishra Yidan Hu 36 0 0 21 May 2025
Locally Differentially Private Frequency Estimation via Joint Randomized Response Ye Zheng Shafizur Rahman Seeam Yidan Hu Rui Zhang Yanchao Zhang 56 0 0 15 May 2025
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams Xinyu Li Xuebin Ren Shusen Yang Liang Shi Chia-Mu Yu AAML 78 0 0 02 May 2025
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy Qingqing Ye Liantong Yu Kai Huang Xiaokui Xiao Weiran Liu Haibo Hu 102 0 0 24 Apr 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 227 1 0 03 Jan 2025
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang Jing Liu Weinan Zhang Nenghai Yu Jie Zhang 129 0 0 22 Oct 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling Shaowei Wang Changyu Dong Xiangfu Song Jin Li Zhili Zhou Di Wang Han Wu 114 0 0 26 Jun 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 114 1 0 19 Apr 2024
Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data Akito Yamamoto Tetsuo Shibuya 17 1 0 12 Feb 2024
Randomized Response with Gradual Release of Privacy Budget Mingen Pan 66 1 0 25 Jan 2024
Trajectory Data Collection with Local Differential Privacy Yuemin Zhang Qingqing Ye Rui Chen Haibo Hu Qilong Han 99 22 0 18 Jul 2023
Stateful Switch: Optimized Time Series Release with Local Differential Privacy Qingqing Ye Haibo Hu Kai Huang M. Au Qiao Xue 70 11 0 17 Dec 2022
XRand: Differentially Private Defense against Explanation-Guided Attacks Truc D. T. Nguyen Phung Lai Nhathai Phan My T. Thai AAML SILM 86 16 0 08 Dec 2022
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy H. Kikuchi 65 2 0 03 Dec 2022
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks Khang Tran Phung Lai Nhathai Phan Issa M. Khalil Yao Ma Abdallah Khreishah My T. Thai Xintao Wu AAML 52 3 0 10 Nov 2022
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy Héber H. Arcolezi Sébastien Gambs Jean-François Couchot C. Palamidessi 69 12 0 04 Sep 2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy Zhili Chen Jiali Wang 33 2 0 03 Sep 2022
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization Honglu Jiang Hao-Chun Yu Xiuzhen Cheng Jian Pei Robert Pless Jiguo Yu 43 6 0 24 Aug 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation Hamid Mozaffari Virendra J. Marathe D. Dice FedML 80 4 0 16 Aug 2022
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare Moirangthem Biken Singh A. Pratap OOD 72 3 0 24 Jul 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation Hajime Ono Kazuhiro Minami H. Hino 42 0 0 15 Feb 2022
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation Di Zhuang Mingchen Li Jerome Chang FedML 26 2 0 07 Feb 2022
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space Jiawei Duan Qingqing Ye Haibo Hu 57 15 0 19 Jan 2022
OPTT: Optimal Piecewise Transformation Technique for Analyzing Numerical Data under Local Differential Privacy Fei Ma Renbo Zhu Ping Wang 43 1 0 09 Dec 2021
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets Sachin Kadam Anna Scaglione Nikhil Ravi S. Peisert B. Lunghino Aram Shumavon 32 0 0 23 Nov 2021
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data Yongji Wu Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 73 34 0 22 Nov 2021
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates Héber H. Arcolezi Jean-François Couchot Bechara al Bouna X. Xiao 50 29 0 08 Nov 2021
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy Héber H. Arcolezi Jean-François Couchot Bechara al Bouna Xiaokui Xiao 53 27 0 15 Sep 2021
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics Graham Cormode I. Markov FedML 57 10 0 03 Aug 2021
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review Gonzalo Munilla Garrido Johannes Sedlmeir Ömer Uludağ Ilias Soto Alaoui André Luckow Florian Matthes 67 47 0 25 Jul 2021
FedXGBoost: Privacy-Preserving XGBoost for Federated Learning Nam Le Yang Liu Quang-Minh Nguyen Qingchen Liu Fangzhou Liu Quan Cai Sandra Hirche FedML 55 24 0 20 Jun 2021
Private Hierarchical Clustering in Federated Networks Aashish Kolluri Teodora Baluta Prateek Saxena FedML 47 12 0 19 May 2021
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback Lorenzo Minto Moritz Haller Hamed Haddadi B. Livshits FedML 67 74 0 09 May 2021
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain Shuaicheng Ma Yang Cao L. Xiong FedML 69 37 0 26 Jan 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 329 374 0 07 Dec 2020
Private Wireless Federated Learning with Anonymous Over-the-Air Computation Burak Hasircioglu Deniz Gunduz FedML 61 33 0 17 Nov 2020
Improving Utility of Differentially Private Mechanisms through Cryptography-based Technologies: a Survey Wen Huang Shijie Zhou Tianqing Zhu Yongjian Liao FedML 38 1 0 02 Nov 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 96 88 0 11 Oct 2020
FLAME: Differentially Private Federated Learning in the Shuffle Model Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa FedML 90 96 0 17 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 100 107 0 11 Sep 2020
Privacy Preserving Vertical Federated Learning for Tree-based Models Yuncheng Wu Shaofeng Cai Xiaokui Xiao Gang Chen Beng Chin Ooi FedML 56 213 0 14 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 90 146 0 09 Aug 2020
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model Shun Takagi Tsubasa Takahashi Yang Cao Masatoshi Yoshikawa SyDa 78 39 0 22 Jun 2020
Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients H. Lianto Yang Zhao Jun Zhao FedML 10 0 0 08 Jun 2020
LDP-Fed: Federated Learning with Local Differential Privacy Stacey Truex Ling Liu Ka-Ho Chow Mehmet Emre Gursoy Wenqi Wei FedML 80 397 0 05 Jun 2020
Continuous Release of Data Streams under both Centralized and Local Differential Privacy Tianhao Wang Joann Qiongna Chen Zhikun Zhang D. Su Yueqiang Cheng Zhou Li Ninghui Li S. Jha 52 77 0 24 May 2020
Local Differential Privacy based Federated Learning for Internet of Things Yang Zhao Jun Zhao Mengmeng Yang Teng Wang Ning Wang Lingjuan Lyu Dusit Niyato Kwok-Yan Lam 92 303 0 19 Apr 2020