Estimating Power-Law Exponent with Edge Differential Privacy
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Adam, Hefny, Mohamed, Vora, Keval |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics
by: Hu, Yihua, et al.
Published: (2025)
by: Hu, Yihua, et al.
Published: (2025)
Numerical Estimation of Spatial Distributions under Differential Privacy
by: Du, Leilei, et al.
Published: (2024)
by: Du, Leilei, et al.
Published: (2024)
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
by: He, Yizhang, et al.
Published: (2025)
by: He, Yizhang, et al.
Published: (2025)
Computing Inconsistency Measures Under Differential Privacy
by: Mohapatra, Shubhankar, et al.
Published: (2025)
by: Mohapatra, Shubhankar, et al.
Published: (2025)
Approximate DBSCAN under Differential Privacy
by: Qiu, Yuan, et al.
Published: (2025)
by: Qiu, Yuan, et al.
Published: (2025)
Measuring Database Unfairness via Dependency Quantification Under Differential Privacy
by: Vologdin, Mariia, et al.
Published: (2026)
by: Vologdin, Mariia, et al.
Published: (2026)
Within-Dataset Disclosure Risk for Differential Privacy
by: Zhu, Zhiru, et al.
Published: (2023)
by: Zhu, Zhiru, et al.
Published: (2023)
Programming Frameworks for Differential Privacy
by: Gaboardi, Marco, et al.
Published: (2024)
by: Gaboardi, Marco, et al.
Published: (2024)
Infinite Stream Estimation under Personalized $w$-Event Privacy
by: Du, Leilei, et al.
Published: (2025)
by: Du, Leilei, et al.
Published: (2025)
Federated Heavy Hitter Analytics with Local Differential Privacy
by: Zhang, Yuemin, et al.
Published: (2024)
by: Zhang, Yuemin, et al.
Published: (2024)
A General Framework for Per-record Differential Privacy
by: Chen, Xinghe, et al.
Published: (2025)
by: Chen, Xinghe, et al.
Published: (2025)
Real-Time Trajectory Synthesis with Local Differential Privacy
by: Hu, Yujia, et al.
Published: (2024)
by: Hu, Yujia, et al.
Published: (2024)
Acyclic Graph Pattern Counting under Local Differential Privacy
by: Hu, Yihua, et al.
Published: (2026)
by: Hu, Yihua, et al.
Published: (2026)
Releasing Large-Scale Human Mobility Histograms with Differential Privacy
by: Bian, Christopher, et al.
Published: (2024)
by: Bian, Christopher, et al.
Published: (2024)
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)
by: He, Xi, et al.
Published: (2024)
Communication-Efficient Triangle Counting under Local Differential Privacy
by: Imola, Jacob, et al.
Published: (2021)
by: Imola, Jacob, et al.
Published: (2021)
GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
by: Sun, Haochen, et al.
Published: (2025)
by: Sun, Haochen, et al.
Published: (2025)
Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
by: Zhang, Xiaojian, et al.
Published: (2025)
by: Zhang, Xiaojian, et al.
Published: (2025)
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
by: Sun, Haochen, et al.
Published: (2025)
by: Sun, Haochen, et al.
Published: (2025)
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
by: Du, Rong, et al.
Published: (2025)
by: Du, Rong, et al.
Published: (2025)
Privately Answering Queries on Skewed Data via Per Record Differential Privacy
by: Seeman, Jeremy, et al.
Published: (2023)
by: Seeman, Jeremy, et al.
Published: (2023)
Tabular Data Synthesis with Differential Privacy: A Survey
by: Yang, Mengmeng, et al.
Published: (2024)
by: Yang, Mengmeng, et al.
Published: (2024)
Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census
by: Muralidhar, Krish, et al.
Published: (2024)
by: Muralidhar, Krish, et al.
Published: (2024)
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)
by: Zhang, Sen, et al.
Published: (2025)
How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
by: Domingo-Ferrer, Josep, et al.
Published: (2025)
by: Domingo-Ferrer, Josep, et al.
Published: (2025)
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
by: Ye, Qingqing, et al.
Published: (2025)
by: Ye, Qingqing, et al.
Published: (2025)
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy
by: Wang, Leixia, et al.
Published: (2024)
by: Wang, Leixia, et al.
Published: (2024)
DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
by: Qiu, Yuan, et al.
Published: (2026)
by: Qiu, Yuan, et al.
Published: (2026)
A proposal to increase data utility on Global Differential Privacy data based on data use predictions
by: Nunes, Henry C., et al.
Published: (2024)
by: Nunes, Henry C., et al.
Published: (2024)
Personalized w-Event Privacy for Infinite Stream Estimation
by: Du, Leilei, et al.
Published: (2026)
by: Du, Leilei, et al.
Published: (2026)
NetDPSyn: Synthesizing Network Traces under Differential Privacy
by: Sun, Danyu, et al.
Published: (2024)
by: Sun, Danyu, et al.
Published: (2024)
Practical and Accurate Local Edge Differentially Private Graph Algorithms
by: Mundra, Pranay, et al.
Published: (2025)
by: Mundra, Pranay, et al.
Published: (2025)
Cross-level Privacy Preserving Utility Mining
by: Cai, Jiahong, et al.
Published: (2026)
by: Cai, Jiahong, et al.
Published: (2026)
Inference-Aware & Privacy-Preserving Deletion in Databases
by: Chakraborty, Vishal, et al.
Published: (2026)
by: Chakraborty, Vishal, et al.
Published: (2026)
Utility-based Privacy Preserving Data Mining
by: Zhou, Qingfeng, et al.
Published: (2025)
by: Zhou, Qingfeng, et al.
Published: (2025)
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
by: Liu, Yixuan, et al.
Published: (2024)
by: Liu, Yixuan, et al.
Published: (2024)
Anti‐Diabetic and Insulinotropic Effects of p ‐Anisic Acid in High‐Fat Diet and Streptozotocin Induced Type‐2 Diabetic Rats
by: Vishal Vora, et al.
Published: (2024)
by: Vishal Vora, et al.
Published: (2024)
SIMD-PAC-DB: Pretty Performant PAC Privacy
by: Battiston, Ilaria, et al.
Published: (2026)
by: Battiston, Ilaria, et al.
Published: (2026)
Implementation and Privacy Guarantees for Scalable Keyword Search on SOLID-based Decentralized Data with Granular Visibility Constraints
by: Ragab, Mohamed, et al.
Published: (2026)
by: Ragab, Mohamed, et al.
Published: (2026)
Orchestration for Domain-specific Edge-Cloud Language Models
by: Patidar, Prasoon, et al.
Published: (2025)
by: Patidar, Prasoon, et al.
Published: (2025)
Similar Items
-
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics
by: Hu, Yihua, et al.
Published: (2025) -
Numerical Estimation of Spatial Distributions under Differential Privacy
by: Du, Leilei, et al.
Published: (2024) -
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
by: He, Yizhang, et al.
Published: (2025) -
Computing Inconsistency Measures Under Differential Privacy
by: Mohapatra, Shubhankar, et al.
Published: (2025) -
Approximate DBSCAN under Differential Privacy
by: Qiu, Yuan, et al.
Published: (2025)