:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghahramanpour, Naeim, Milani, Mostafa
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Databases
Accesso online:	https://arxiv.org/abs/2603.12112
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Threshold-Independent Fair Matching through Score Calibration
di: Moslemi, Mohammad Hossein, et al.
Pubblicazione: (2024)

Relation-Stratified Sampling for Shapley Values Estimation in Relational Databases
di: Alizad, Amirhossein, et al.
Pubblicazione: (2025)

The Human Factor in Data Cleaning: Exploring Preferences and Biases
di: AbdElazim, Hazim, et al.
Pubblicazione: (2026)

Adaptive Anomaly Detection in the Presence of Concept Drift: Extended Report
di: Park, Jongjun, et al.
Pubblicazione: (2025)

Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
di: Hossain, Zarin Tahia, et al.
Pubblicazione: (2025)

Reducing Biases in Record Matching Through Scores Calibration
di: Moslemi, Mohammad Hossein, et al.
Pubblicazione: (2024)

Evaluating Blocking Biases in Entity Matching
di: Moslemi, Mohammad Hossein, et al.
Pubblicazione: (2024)

Differentially Private Data Generation with Missing Data
di: Mohapatra, Shubhankar, et al.
Pubblicazione: (2023)

Differentially Private Selection using Smooth Sensitivity
di: Chaves, Iago, et al.
Pubblicazione: (2025)

Evaluating SQL Understanding in Large Language Models
di: Rahaman, Ananya, et al.
Pubblicazione: (2024)

OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
di: Pirhadi, Alireza, et al.
Pubblicazione: (2024)

AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data
di: McKenna, Ryan, et al.
Pubblicazione: (2022)

An Algorithm for Streaming Differentially Private Data
di: Kumar, Girish, et al.
Pubblicazione: (2024)

Differentially Private Synthetic Data Generation for Relational Databases
di: Alimohammadi, Kaveh, et al.
Pubblicazione: (2024)

Differentially Private Inductive Miner
di: Schulze, Max, et al.
Pubblicazione: (2024)

Differentially Private Explanations for Clusters
di: Gilad, Amir, et al.
Pubblicazione: (2025)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
di: Seeman, Jeremy, et al.
Pubblicazione: (2023)

Differentially Private Stream Processing at Scale
di: Zhang, Bing, et al.
Pubblicazione: (2023)

Differentially Private Learned Indexes
di: Du, Jianzhang, et al.
Pubblicazione: (2024)

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms
di: Liu, Shang, et al.
Pubblicazione: (2024)

Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
di: Rosenblatt, Lucas, et al.
Pubblicazione: (2024)

Qrlew: Rewriting SQL into Differentially Private SQL
di: Grislain, Nicolas, et al.
Pubblicazione: (2024)

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution
di: Humphries, Thomas, et al.
Pubblicazione: (2026)

Example-Driven Intent Synthesis for Constrained Data Bundle Retrieval: Focused Text Snippet Extraction and Beyond
di: Cho, Whanhee, et al.
Pubblicazione: (2026)

Interpreting the Error of Differentially Private Median Queries through Randomization Intervals
di: Humphries, Thomas, et al.
Pubblicazione: (2026)

Tabular Data Synthesis with Differential Privacy: A Survey
di: Yang, Mengmeng, et al.
Pubblicazione: (2024)

Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
di: Scott, Mary, et al.
Pubblicazione: (2024)

Practical and Accurate Local Edge Differentially Private Graph Algorithms
di: Mundra, Pranay, et al.
Pubblicazione: (2025)

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
di: Matsumoto, Tomoya, et al.
Pubblicazione: (2026)

Fast Private Adaptive Query Answering for Large Data Domains
di: Fuentes, Miguel, et al.
Pubblicazione: (2026)

Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
di: Nanayakkara, Priyanka, et al.
Pubblicazione: (2024)

ORQ: Complex Analytics on Private Data with Strong Security Guarantees
di: Baum, Eli, et al.
Pubblicazione: (2025)

Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics
di: Vargas-Solar, Genoveva
Pubblicazione: (2025)

RIPOST: Two-Phase Private Decomposition for Multidimensional Data
di: Laouir, Ala Eddine, et al.
Pubblicazione: (2025)

Fair Data Pre-Processing with Imperfect Attribute Space
di: Zheng, Ying, et al.
Pubblicazione: (2026)

Heterogeneity in Entity Matching: A Survey and Experimental Analysis
di: Moslemi, Mohammad Hossein, et al.
Pubblicazione: (2025)

Real-Time Trajectory Synthesis with Local Differential Privacy
di: Hu, Yujia, et al.
Pubblicazione: (2024)

Weighted Fourier Factorizations: Optimal Gaussian Noise for Differentially Private Marginal and Product Queries
di: Lebeda, Christian Janos, et al.
Pubblicazione: (2025)

CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
di: Zheng, Ying, et al.
Pubblicazione: (2025)

Private Quantum Database
di: Gatti, Giancarlo, et al.
Pubblicazione: (2025)