Cover Image

Private Data Imputation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kati, Abdelkarim, Kerschbaum, Florian, Blanton, Marina
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

SilentWood: Private Inference Over Gradient-Boosting Decision Forests
by: Ko, Ronny, et al.
Published: (2024)

Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
by: Kerschbaum, Florian, et al.
Published: (2025)

Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection
by: Arpaci, Onur Eren, et al.
Published: (2025)

SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
by: Fenaux, Lucas, et al.
Published: (2024)

ZipPIR: High-throughput Single-server PIR without Client-side Storage
by: Mahdavi, Rasoul Akhavan, et al.
Published: (2026)

Cloak: Heuristic ORAM Optimization Through Fixed Temporal Distribution
by: Arpaci, Onur Eren, et al.
Published: (2026)

HE is all you need: Compressing FHE Ciphertexts using Additive HE
by: Mahdavi, Rasoul Akhavan, et al.
Published: (2023)

PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting
by: Mahdavi, Rasoul Akhavan, et al.
Published: (2023)

FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy
by: Diaa, Abdulrahman, et al.
Published: (2024)

Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation
by: Baccarini, Alessandro, et al.
Published: (2022)

Leveraging Optimization for Adaptive Attacks on Image Watermarks
by: Lukas, Nils, et al.
Published: (2023)

Labeled Delegated PSI and its Applications in the Public Sector
by: Verslype, Kristof, et al.
Published: (2025)

Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
by: Diaa, Abdulrahman, et al.
Published: (2023)

Universal Backdoor Attacks
by: Schneider, Benjamin, et al.
Published: (2023)

CRSet: Private Non-Interactive Verifiable Credential Revocation
by: Hoops, Felix, et al.
Published: (2025)

Backdooring Bias in Large Language Models
by: Das, Anudeep, et al.
Published: (2026)

Privacy-Preserving Vertical K-Means Clustering
by: Mazzone, Federico, et al.
Published: (2025)

Private Count Release: A Simple and Scalable Approach for Private Data Analytics
by: Rogers, Ryan
Published: (2024)

Privately Counting Partially Ordered Data
by: Joseph, Matthew, et al.
Published: (2024)

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data
by: Santriaji, Muhammad Husni, et al.
Published: (2024)

Benchmarking Differentially Private Tabular Data Synthesis
by: Chen, Kai, et al.
Published: (2025)

Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)

Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
by: Fenaux, Lucas, et al.
Published: (2025)

Lomas: A Platform for Confidential Analysis of Private Data
by: Aymon, Damien, et al.
Published: (2024)

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
by: Zhang, Jianqing, et al.
Published: (2025)

Inferentially-Private Private Information
by: Wang, Shuaiqi, et al.
Published: (2024)

EPSpatial: Achieving Efficient and Private Statistical Analytics of Geospatial Data
by: Zhang, Chuan, et al.
Published: (2025)

MAUI: Reconstructing Private Client Data in Federated Transfer Learning
by: Dabholkar, Ahaan, et al.
Published: (2025)

Segmented Private Data Aggregation in the Multi-message Shuffle Model
by: Wang, Shaowei, et al.
Published: (2024)

Differentially Private Spatiotemporal Trajectory Synthesis with Retained Data Utility
by: Ge, Yuqing, et al.
Published: (2024)

Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
by: Maddi, Aadyaa, et al.
Published: (2024)

Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets
by: Wagh, Sameer, et al.
Published: (2025)

Styx: Collaborative and Private Data Processing With TEE-Enforced Sticky Policy
by: Zhao, Shixuan, et al.
Published: (2026)

Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications
by: Jentsch, Julia, et al.
Published: (2024)

PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data
by: Yuan, Quan, et al.
Published: (2025)

DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data
by: Shi, Shuo, et al.
Published: (2025)

Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols
by: Tong, Wei, et al.
Published: (2024)

Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices
by: Chen, Kongyang, et al.
Published: (2024)

Mind The Gap: Can Air-Gaps Keep Your Private Data Secure?
by: Guri, Mordechai
Published: (2024)