:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Rogers, Ryan
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security
Accès en ligne:	https://arxiv.org/abs/2403.05073
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Privately Counting Partially Ordered Data
par: Joseph, Matthew, et autres
Publié: (2024)

EPSpatial: Achieving Efficient and Private Statistical Analytics of Geospatial Data
par: Zhang, Chuan, et autres
Publié: (2025)

Scalable Private Search with Wally
par: Asi, Hilal, et autres
Publié: (2024)

Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
par: Maddi, Aadyaa, et autres
Publié: (2024)

Benchmarking Differentially Private Tabular Data Synthesis
par: Chen, Kai, et autres
Publié: (2025)

Private Lossless Multiple Release
par: Andersson, Joel Daniel, et autres
Publié: (2025)

Preserving Target Distributions With Differentially Private Count Mechanisms
par: Kohli, Nitin, et autres
Publié: (2026)

ORQ: Complex Analytics on Private Data with Strong Security Guarantees
par: Baum, Eli, et autres
Publié: (2025)

Private Data Imputation
par: Kati, Abdelkarim, et autres
Publié: (2025)

PSA: Private Set Alignment for Secure and Collaborative Analytics on Large-Scale Data
par: Wang, Jiabo, et autres
Publié: (2024)

Inferentially-Private Private Information
par: Wang, Shuaiqi, et autres
Publié: (2024)

Differentially Private Release and Learning of Threshold Functions
par: Bun, Mark, et autres
Publié: (2015)

Distributed Differentially Private Data Analytics via Secure Sketching
par: Burkhardt, Jakob, et autres
Publié: (2024)

Scalable Differentially Private Sketches under Continual Observation
par: Holland, Rayne
Publié: (2025)

Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility
par: Ghasemizade, Mohsen, et autres
Publié: (2025)

Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release
par: Bun, Mark, et autres
Publié: (2025)

Differentially Private Synthetic Data Release for Topics API Outputs
par: Dick, Travis, et autres
Publié: (2025)

Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
par: Fioretto, Ferdinando, et autres
Publié: (2024)

Private Continual Counting of Unbounded Streams
par: Jacobsen, Ben, et autres
Publié: (2025)

Releasing Differentially Private Event Logs Using Generative Models
par: Wangelik, Frederik, et autres
Publié: (2025)

Differentially Private Continual Release of Histograms and Related Queries
par: Henzinger, Monika, et autres
Publié: (2023)

Private Counting of Distinct Elements in the Turnstile Model and Extensions
par: Henzinger, Monika, et autres
Publié: (2024)

Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
par: Sarathy, Jayshree, et autres
Publié: (2022)

Lomas: A Platform for Confidential Analysis of Private Data
par: Aymon, Damien, et autres
Publié: (2024)

Benchmarking Fraud Detectors on Private Graph Data
par: Goldberg, Alexander, et autres
Publié: (2025)

CipherPrune: Efficient and Scalable Private Transformer Inference
par: Zhang, Yancheng, et autres
Publié: (2025)

Authenticated Private Set Intersection: A Merkle Tree-Based Approach for Enhancing Data Integrity
par: Gong, Zixian, et autres
Publié: (2025)

Differentially Private Data Generation with Missing Data
par: Mohapatra, Shubhankar, et autres
Publié: (2023)

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
par: Zhang, Jianqing, et autres
Publié: (2025)

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
par: Lang, Natalie, et autres
Publié: (2023)

Power Mechanism: Private Tabular Representation Release for Model Agnostic Consumption
par: Vepakomma, Praneeth, et autres
Publié: (2025)

Improving Count-Mean Sketch as the Leading Locally Differentially Private Frequency Estimator for Large Dictionaries
par: Pan, Mingen
Publié: (2024)

SoK: Practical Aspects of Releasing Differentially Private Graphs
par: D'Silva, Nicholas, et autres
Publié: (2026)

Streaming Private Continual Counting via Binning
par: Andersson, Joel Daniel, et autres
Publié: (2024)

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data
par: Santriaji, Muhammad Husni, et autres
Publié: (2024)

Differentially Private Substring and Document Counting with Near-Optimal Error
par: Bernardini, Giulia, et autres
Publié: (2024)

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
par: Swanberg, Marika, et autres
Publié: (2025)

Auditing Private Prediction
par: Chadha, Karan, et autres
Publié: (2024)

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches
par: Farias, Victor A. E., et autres
Publié: (2024)

Private, Efficient and Scalable Kernel Learning for Medical Image Analysis
par: Hannemann, Anika, et autres
Publié: (2024)