Similar Items
Acyclic Graph Pattern Counting under Local Differential Privacy
by: Hu, Yihua, et al.
Published: (2026)
by: Hu, Yihua, et al.
Published: (2026)
A General Framework for Per-record Differential Privacy
by: Chen, Xinghe, et al.
Published: (2025)
by: Chen, Xinghe, 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)
Estimating Power-Law Exponent with Edge Differential Privacy
by: Tan, Adam, et al.
Published: (2026)
by: Tan, Adam, et al.
Published: (2026)
Programming Frameworks for Differential Privacy
by: Gaboardi, Marco, et al.
Published: (2024)
by: Gaboardi, Marco, 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)
Numerical Estimation of Spatial Distributions under Differential Privacy
by: Du, Leilei, et al.
Published: (2024)
by: Du, Leilei, 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)
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)
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
by: He, Yizhang, et al.
Published: (2025)
by: He, Yizhang, 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)
Tabular Data Synthesis with Differential Privacy: A Survey
by: Yang, Mengmeng, et al.
Published: (2024)
by: Yang, Mengmeng, et al.
Published: (2024)
Within-Dataset Disclosure Risk for Differential Privacy
by: Zhu, Zhiru, et al.
Published: (2023)
by: Zhu, Zhiru, et al.
Published: (2023)
Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
by: Zhang, Xiaojian, et al.
Published: (2025)
by: Zhang, Xiaojian, 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)
Measuring Database Unfairness via Dependency Quantification Under Differential Privacy
by: Vologdin, Mariia, et al.
Published: (2026)
by: Vologdin, Mariia, et al.
Published: (2026)
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)
Releasing Large-Scale Human Mobility Histograms with Differential Privacy
by: Bian, Christopher, et al.
Published: (2024)
by: Bian, Christopher, 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)
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)
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)
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)
NetDPSyn: Synthesizing Network Traces under Differential Privacy
by: Sun, Danyu, et al.
Published: (2024)
by: Sun, Danyu, et al.
Published: (2024)
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)
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)
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)
by: Hu, Qi, et al.
Published: (2023)
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)
A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation
by: Trudslev, Frederik Marinus, et al.
Published: (2025)
by: Trudslev, Frederik Marinus, et al.
Published: (2025)
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)
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)
Practical and Accurate Local Edge Differentially Private Graph Algorithms
by: Mundra, Pranay, et al.
Published: (2025)
by: Mundra, Pranay, et al.
Published: (2025)
Federated Graph Analytics with Differential Privacy
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
by: Liu, Yixuan, et al.
Published: (2024)
by: Liu, Yixuan, et al.
Published: (2024)
Local Node Differential Privacy
by: Raskhodnikova, Sofya, et al.
Published: (2026)
by: Raskhodnikova, Sofya, et al.
Published: (2026)
Towards Autonomous Graph Data Analytics with Analytics-Augmented Generation
by: Wang, Qiange, et al.
Published: (2026)
by: Wang, Qiange, et al.
Published: (2026)
GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)
by: Liu, Suqing, et al.
Published: (2025)
Infinite Stream Estimation under Personalized $w$-Event Privacy
by: Du, Leilei, et al.
Published: (2025)
by: Du, Leilei, et al.
Published: (2025)
Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
by: Scott, Mary, et al.
Published: (2024)
by: Scott, Mary, et al.
Published: (2024)
Similar Items
-
Acyclic Graph Pattern Counting under Local Differential Privacy
by: Hu, Yihua, et al.
Published: (2026) -
A General Framework for Per-record Differential Privacy
by: Chen, Xinghe, et al.
Published: (2025) -
Federated Heavy Hitter Analytics with Local Differential Privacy
by: Zhang, Yuemin, et al.
Published: (2024) -
Estimating Power-Law Exponent with Edge Differential Privacy
by: Tan, Adam, et al.
Published: (2026) -
Programming Frameworks for Differential Privacy
by: Gaboardi, Marco, et al.
Published: (2024)