Cover Image

Correction to Local Information Privacy and Its Applications to Data Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Bo, Li, Ming, Tandon, Ravi
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference Privacy: Properties and Mechanisms
by: Tian, Fengwei, et al.
Published: (2024)

On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
by: Rameshwar, V. Arvind, et al.
Published: (2024)

Probabilistic Counters for Privacy Preserving Data Aggregation
by: Bojko, Dominik, et al.
Published: (2020)

Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
by: Singh, Bikash Chandra, et al.
Published: (2025)

Audit-or-Cast: Enforcing Honest Elections with Privacy-Preserving Public Verification
by: Rojjha, Aman, et al.
Published: (2026)

Mitigating Data Poisoning Attacks to Local Differential Privacy
by: Li, Xiaolin, et al.
Published: (2025)

RAIN: Secure and Robust Aggregation under Shuffle Model of Differential Privacy
by: Li, Yuhang, et al.
Published: (2026)

Learning Fair Robustness via Domain Mixup
by: Zhong, Meiyu, et al.
Published: (2024)

Local Privacy-preserving Mechanisms and Applications in Machine Learning
by: Qin, Likun, et al.
Published: (2024)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
by: Haydari, Ammar, et al.
Published: (2021)

CURATE: Scaling-up Differentially Private Causal Graph Discovery
by: Bhattacharjee, Payel, et al.
Published: (2024)

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
by: Xu, Runhua, et al.
Published: (2025)

RASE: Efficient Privacy-preserving Data Aggregation against Disclosure Attacks for IoTs
by: Wang, Zuyan, et al.
Published: (2024)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
by: Baek, Incheol, et al.
Published: (2025)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
by: Li, Xinyu, et al.
Published: (2025)

STAMP: Selective Task-Aware Mechanism for Text Privacy
by: Tian, Fengwei, et al.
Published: (2026)

Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions
by: Polychroniadou, Antigoni, et al.
Published: (2025)

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
by: Xie, Songjie, et al.
Published: (2024)

Understanding the Relationship Between Personal Data Privacy Literacy and Data Privacy Information Sharing by University Students
by: Lund, Brady D., et al.
Published: (2025)

Grid-Based Decompositions for Spatial Data under Local Differential Privacy
by: Balioglu, Berkay Kemal, et al.
Published: (2024)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
by: Behnia, Rouzbeh, et al.
Published: (2023)

The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
by: Jayawardana, Sandaru, et al.
Published: (2025)

On Computing Pairwise Statistics with Local Differential Privacy
by: Ghazi, Badih, et al.
Published: (2024)

Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
by: Taiello, Riccardo, et al.
Published: (2024)

Frequency Estimation of Correlated Multi-attribute Data under Local Differential Privacy
by: Seeam, Shafizur Rahman, et al.
Published: (2025)

Privacy-Preserving Data Aggregation Techniques for Enhanced Efficiency and Security in Wireless Sensor Networks: A Comprehensive Analysis and Evaluation
by: Rastogi, Ayush, et al.
Published: (2024)

VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
by: Alghazwi, Mohammed, et al.
Published: (2024)

Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation
by: Liu, Ziyao, et al.
Published: (2024)

Actual Knowledge Gain as Privacy Loss in Local Privacy Accounting
by: Pan, Mingen
Published: (2023)

PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
by: Hou, Sizai, et al.
Published: (2024)

Interpreting Differential Privacy in Terms of Disclosure Risk
by: Kazan, Zeki, et al.
Published: (2025)

Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
by: Zhan, Pei, et al.
Published: (2025)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)

Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach
by: Coşğun, Melih, et al.
Published: (2025)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
by: Ghazi, Badih, et al.
Published: (2024)

Permutation Equivariance of Transformers and Its Applications
by: Xu, Hengyuan, et al.
Published: (2023)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
by: Du, Jian, et al.
Published: (2025)

Local Distance Query with Differential Privacy
by: Sheng, Weihong, et al.
Published: (2025)