Bayesian Frequency Estimation Under Local Differential Privacy With an Adaptive Randomized Response Mechanism
Fuente:
arXiv
Saved in:
| Main Authors: | Aydin, Soner, Yildirim, Sinan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Composition in Differential Privacy for General Granularity Notions (Long Version)
by: Guerra-Balboa, Patricia, et al.
Published: (2023)
by: Guerra-Balboa, Patricia, et al.
Published: (2023)
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
by: Lange, Martin, et al.
Published: (2025)
by: Lange, Martin, et al.
Published: (2025)
The Adverse Effects of Omitting Records in Differential Privacy: How Sampling and Suppression Degrade the Privacy--Utility Tradeoff (Long Version)
by: Miranda-Pascual, Àlex, et al.
Published: (2026)
by: Miranda-Pascual, Àlex, et al.
Published: (2026)
Local Differential Privacy-Preserving Spectral Clustering for General Graphs
by: Mukherjee, Sayan, et al.
Published: (2023)
by: Mukherjee, Sayan, et al.
Published: (2023)
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
by: Lin, Shurong, et al.
Published: (2023)
by: Lin, Shurong, et al.
Published: (2023)
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version)
by: Guerra-Balboa, Patricia, et al.
Published: (2026)
by: Guerra-Balboa, Patricia, et al.
Published: (2026)
Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses
by: Kong, Weiwei, et al.
Published: (2024)
by: Kong, Weiwei, et al.
Published: (2024)
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
by: Rosenblatt, Lucas, et al.
Published: (2024)
by: Rosenblatt, Lucas, et al.
Published: (2024)
Differentially Private Fisher Randomization Tests for Binary Outcomes
by: Sun, Qingyang, et al.
Published: (2025)
by: Sun, Qingyang, et al.
Published: (2025)
Differentially Private Linear Regression with Linked Data
by: Lin, Shurong, et al.
Published: (2023)
by: Lin, Shurong, et al.
Published: (2023)
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
by: Lowy, Andrew, et al.
Published: (2024)
by: Lowy, Andrew, et al.
Published: (2024)
$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)
by: Dang, Kieu, et al.
Published: (2025)
Statistical Privacy
by: Breutigam, Dennis, et al.
Published: (2025)
by: Breutigam, Dennis, et al.
Published: (2025)
"Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies
by: Piao, Yangheran, et al.
Published: (2025)
by: Piao, Yangheran, et al.
Published: (2025)
On the Insecurity of Keystroke-Based AI Authorship Detection: Timing-Forgery Attacks Against Motor-Signal Verification
by: Condrey, David
Published: (2026)
by: Condrey, David
Published: (2026)
Optimizing Noise for $f$-Differential Privacy via Anti-Concentration and Stochastic Dominance
by: Awan, Jordan, et al.
Published: (2023)
by: Awan, Jordan, et al.
Published: (2023)
A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
by: Karmitsa, Napsu, et al.
Published: (2025)
by: Karmitsa, Napsu, et al.
Published: (2025)
A Hybrid Quantum Solver for Gaussian Process Regression
by: Bükrü, Kerem, et al.
Published: (2025)
by: Bükrü, Kerem, et al.
Published: (2025)
An Improved ChaCha Algorithm Based on Quantum Random Number
by: Liu, Chao, et al.
Published: (2025)
by: Liu, Chao, et al.
Published: (2025)
Differentially private testing for relevant dependencies in high dimensions
by: Bastian, Patrick, et al.
Published: (2025)
by: Bastian, Patrick, et al.
Published: (2025)
A Secure Communication Protocol for Remote Keyless Entry System with Adaptive Adjustment of Transmission Parameters
by: Guo, Jingjing, et al.
Published: (2025)
by: Guo, Jingjing, et al.
Published: (2025)
Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
by: Zhao, Lepeng, et al.
Published: (2026)
by: Zhao, Lepeng, et al.
Published: (2026)
AVEC: Bootstrapping Privacy for Local LLMs
by: Gaikwad, Madhava
Published: (2025)
by: Gaikwad, Madhava
Published: (2025)
Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study
by: Fukuyama, Keita, et al.
Published: (2026)
by: Fukuyama, Keita, et al.
Published: (2026)
Private Minimum Hellinger Distance Estimation via Hellinger Distance Differential Privacy
by: Deng, Fengnan, et al.
Published: (2025)
by: Deng, Fengnan, et al.
Published: (2025)
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models
by: Mohamed, Omar Khalid Ali
Published: (2025)
by: Mohamed, Omar Khalid Ali
Published: (2025)
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid
by: Dash, Smruti P., et al.
Published: (2025)
by: Dash, Smruti P., et al.
Published: (2025)
Private Vertical Federated Inference for Time-Series
by: Fenaux, Lucas, et al.
Published: (2026)
by: Fenaux, Lucas, et al.
Published: (2026)
Private Evolution Converges
by: González, Tomás, et al.
Published: (2025)
by: González, Tomás, et al.
Published: (2025)
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning
by: Brännvall, Rickard, et al.
Published: (2025)
by: Brännvall, Rickard, et al.
Published: (2025)
Best Linear Unbiased Estimate from Privatized Contingency Tables
by: Awan, Jordan, et al.
Published: (2024)
by: Awan, Jordan, et al.
Published: (2024)
Constructing a fully homomorphic encryption scheme with the Yoneda Lemma
by: Tuyéras, Rémy
Published: (2024)
by: Tuyéras, Rémy
Published: (2024)
Chase Anonymisation: Privacy-Preserving Knowledge Graphs with Logical Reasoning
by: Bellomarini, Luigi, et al.
Published: (2024)
by: Bellomarini, Luigi, et al.
Published: (2024)
Locally Gentle State Certification for High Dimensional Quantum Systems
by: Butucea, Cristina, et al.
Published: (2026)
by: Butucea, Cristina, et al.
Published: (2026)
ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
by: Tariq, Omer, et al.
Published: (2025)
by: Tariq, Omer, et al.
Published: (2025)
Central limit theorems for additive functionals in patricia tries
by: Ischebeck, Jasper
Published: (2023)
by: Ischebeck, Jasper
Published: (2023)
Technical Case Study of Privacy-Enhancing Technologies (PETs) for Public Health
by: Laddha, Avinash, et al.
Published: (2026)
by: Laddha, Avinash, et al.
Published: (2026)
Real-time chaotic video encryption based on multithreaded parallel confusion and diffusion
by: Jiang, Dong, et al.
Published: (2023)
by: Jiang, Dong, et al.
Published: (2023)
Simplicial complexes in network intrusion profiling
by: von Westenholz, Mandala, et al.
Published: (2024)
by: von Westenholz, Mandala, et al.
Published: (2024)
The Impact of the Russia-Ukraine Conflict on the Cloud Computing Risk Landscape
by: Malikussaid, et al.
Published: (2025)
by: Malikussaid, et al.
Published: (2025)
Similar Items
-
Composition in Differential Privacy for General Granularity Notions (Long Version)
by: Guerra-Balboa, Patricia, et al.
Published: (2023) -
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
by: Lange, Martin, et al.
Published: (2025) -
The Adverse Effects of Omitting Records in Differential Privacy: How Sampling and Suppression Degrade the Privacy--Utility Tradeoff (Long Version)
by: Miranda-Pascual, Àlex, et al.
Published: (2026) -
Local Differential Privacy-Preserving Spectral Clustering for General Graphs
by: Mukherjee, Sayan, et al.
Published: (2023) -
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
by: Lin, Shurong, et al.
Published: (2023)