Differential Privacy: A Survey of Results

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Theory and Applications of Models of Computation

• Publication date

  2008-04-25

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/978-3-540-79228-4_1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Privacy Preserving Data Mining

  2015cited by this paper
• New Efficient Attacks on Statistical Disclosure Control Mechanisms

  2008cited by this paper
• A learning theory approach to non-interactive database privacy

  2008cited by this paper
• What Can We Learn Privately?

  2008cited by this paper
• Smooth sensitivity and sampling in private data analysis

  2007cited by this paper
• Mechanism Design via Differential Privacy

  2007cited by this paper
• M-invariance: towards privacy preserving re-publication of dynamic datasets

  2007cited by this paper
• Privacy, accuracy, and consistency too: a holistic solution to contingency table release

  2007influential reference
• The price of privacy and the limits of LP decoding

  2007cited by this paper
• Advances in Cryptology - EUROCRYPT 2006

  2006cited by this paper
• L-diversity: privacy beyond k-anonymity

  2006cited by this paper
• How To Break Anonymity of the Netflix Prize Dataset

  2006cited by this paper
• Differential Privacy

  2006cited by this paper
• Calibrating Noise to Sensitivity in Private Data Analysis

  2006influential reference
• Our Data, Ourselves: Privacy Via Distributed Noise Generation

  2006cited by this paper
• Toward Privacy in Public Databases

  2005cited by this paper
• Practical privacy: the SuLQ framework

  2005cited by this paper
• Privacy-Preserving Datamining on Vertically Partitioned Databases

  2004influential reference
• Advances in Cryptology – CRYPTO 2004

  2004cited by this paper
• Implementing Statistical Disclosure Control For Aggregated Data Released Via Remote Access

  2003cited by this paper
• Limiting privacy breaches in privacy preserving data mining

  2003cited by this paper
• Multiple Imputation for Statistical Disclosure Limitation

  2003cited by this paper
• Revealing information while preserving privacy

  2003cited by this paper
• Achieving k-Anonymity Privacy Protection Using Generalization and Suppression

  2002cited by this paper
• k-Anonymity: A Model for Protecting Privacy

  2002cited by this paper
• Confidentiality and Statistical Disclosure Limitations

  2001cited by this paper
• On the design and quantification of privacy preserving data mining algorithms

  2001cited by this paper
• International Encyclopedia of the Social and Behavioral Sciences

  2001cited by this paper
• Confidentiality and Data Protection Through Disclosure Limitation: Evolving Principles and Technical Advances

  2000cited by this paper
• Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

  1998cited by this paper
• Generalizing data to provide anonymity when disclosing information (abstract)

  1998cited by this paper
• Protecting Privacy when Disclosing Information: k-Anonymity and Its Enforcement through Generalizati

  1998cited by this paper
• Weaving Technology and Policy Together to Maintain Confidentiality

  1997cited by this paper
• Security-control methods for statistical databases: a comparative study

  1989cited by this paper
• A Graph Theoretic Approach to Statistical Data Security

  1988cited by this paper
• Probabilistic Encryption

  1984cited by this paper
• A theory of the learnable

  1984cited by this paper
• An Analytic Approach to Statistical Databases

  1983cited by this paper
• Statistical Databases: Characteristics, Problems, and some Solutions

  1982cited by this paper
• Auditing and Inference Control in Statistical Databases

  1982cited by this paper
• Secure statistical databases with random sample queries

  1980cited by this paper
• A security machanism for statistical database

  1980cited by this paper
• Practical Data-Swapping: The First Steps

  1980cited by this paper
• The Effectiveness Of Output Modification By Rounding For Protection Of Statistical Data Bases

  1979cited by this paper
• On the Question of Statistical Confidentiality

  1972cited by this paper

• Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning

  2026cites this paper
• Differential Privacy Image Generation with Reconstruction Loss and Noise Injection Using an Error Feedback SGD

  2026cites this paper
• Development of federated learning neural networks with combined horizontal and vertical data partitioning

  2026cites this paper
• Information Leakage and Privacy Protection in Industrial Federated Learning

  2026cites this paper
• Behavioral differential petri nets based privacy-preserving method for event logs

  2026cites this paper
• TPTD: A trusted privacy-preserving truth discovery scheme for quality enhancement in team-based mobile crowd sensing

  2026cites this paper
• Setup Protocols for Sender Anonymity

  2026cites this paper
• In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes

  2026cites this paper
• Federated Reinforcement Learning for Peak Demand Mitigation in Residential Energy Systems With Dynamic Comfort Preferences

  2026cites this paper
• Physical Layer Anonymous Precoding Under CSI and Hardware-Imperfections: A KLD-Based Approach

  2026cites this paper
• Synthesizing Realistic Test Data without Breaking Privacy

  2026cites this paper
• Sparsity-Resilient QoS Prediction via ε-DP Enhanced Subgraph-Inductive GNNs in Internet of Services

  2026cites this paper
• Spread-Spectrum Fingerprint-Based Differential Privacy (SSFDP) for Trajectory Data

  2026cites this paper
• Personalized trajectory privacy protection method based on Transformer-CGAN in mobile crowd sensing networks

  2026cites this paper
• SafeRAG: Secure Cloud-Based Retrieval-Augmented Generation for LLM-Empowered Voice Assistants

  2026cites this paper
• On the use of synthetic data for healthcare AI in Africa: Technical performance, governance challenges, and policy readiness

  2026cites this paper
• One RNG to Rule Them All: How Randomness Becomes an Attack Vector in Machine Learning

  2026influential citation
• PPT-TWR: A Privacy-Preserving Trust learning scheme for intelligent team worker recruitment in Mobile Crowd sensing

  2026cites this paper
• Challenges and Countermeasures for AI Ethics and Privacy Protection in Autonomous Ride-Hailing Platforms

  2026cites this paper
• Privacy-Preserving Joint Distribution Analysis for Set-Valued Data via Local Differential Privacy

  2026cites this paper
• Differential Privacy Space Decomposition Algorithm Based on Hierarchical Model

  2026cites this paper
• ADGTrace: Achieving Adaptive Trajectory Synthesis With Generated Data

  2026cites this paper
• Privacy-Preserving Percentile Visualization for Digital Marketplace Performance Metrics

  2026influential citation
• RPCFL: a byzantine-robust and privacy-preserving clustered federated learning framework

  2026cites this paper
• Cyber Physical Systems Security: Bridging Privacy, Verification, Intelligence, and Forensics

  2026cites this paper
• Mitigating Membership Inference in Intermediate Representations via Layer-wise MIA-risk-aware DP-SGD

  2026cites this paper
• Exploring the Design Space of Privacy-Driven Adaptation Techniques for Future Augmented Reality Interfaces

  2025cites this paper
• Between You and Me: Ethics of Self-Disclosure in Human-Robot Interaction

  2025cites this paper
• Securing Internet of Things Devices with Federated Learning: A Privacy-Preserving Approach for Distributed Intrusion Detection

  2025cites this paper
• SP-SV: Balancing Privacy and Usability in Multi-Attribute Health Data Environments

  2025cites this paper
• Differential Private Data Stream Analytics in the Local and Shuffle Models

  2025cites this paper
• Challenges and Opportunities for Statistics in the Era of Data Science

  2025cites this paper
• Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement

  2025influential citation
• A Perplexity and Menger Curvature-Based Approach for Similarity Evaluation of Large Language Models

  2025cites this paper
• Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility Perspectives

  2025cites this paper
• Releasing Differentially Private Event Logs Using Generative Models

  2025influential citation
• Balancing Security and Privacy: Web Bot Detection, Privacy Challenges, and Regulatory Compliance under the GDPR and AI Act

  2025cites this paper
• Towards an Artifact to Assess Differential Privacy in Microdata Streams

  2025cites this paper
• Tree-based Models for Vertical Federated Learning: A Survey

  2025cites this paper
• Addressing Privacy-Preservation in Healthcare Using Federated Learning: A Survey

  2025cites this paper
• A privacy-preserving LDA model training scheme based on federated learning

  2025cites this paper
• Implementation and Evaluation of a Person Identification System Considering Face Image Recognition Accuracy and Privacy Protection

  2025cites this paper
• Data Traceability for Privacy Alignment

  2025cites this paper
• Federated Conversational Recommender System

  2025cites this paper
• Data technologies and analytics for policy and governance: a landscape review

  2025cites this paper
• Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services

  2025cites this paper
• RMR: A Relative Membership Risk Measure for Machine Learning Models

  2025cites this paper
• Towards Privacy-Preserving Split Learning for ControlNet

  2025cites this paper
• Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning

  2025cites this paper
• State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis

  2025cites this paper
• Federated Learning With Security Authentication and Traceability of Poisoning by Embedded Message Authentication Code

  2025cites this paper
• A verifiable scheme for differential privacy based on zero-knowledge proofs

  2025cites this paper
• ADPHE-FL: Federated learning method based on adaptive differential privacy and homomorphic encryption

  2025cites this paper
• Utility-aware Social Network Anonymization using Genetic Algorithms

  2025cites this paper
• Enhancing Federated Feature Selection Through Synthetic Data and Zero Trust Integration

  2025cites this paper
• PrivFED: Protecting User Privacy in Federated Learning Systems Through Differential Privacy

  2025cites this paper
• A Privacy-Enhanced Method for Privacy-Preserving and Verifiable Federated Learning

  2025cites this paper
• Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy

  2025cites this paper
• Interaction Techniques for Providing Sensitive Location Data of Interpersonal Violence with User-Defined Privacy Preservation

  2025cites this paper
• Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees

  2025cites this paper
• Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation

  2025cites this paper
• Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning

  2025cites this paper
• IRSEnet: Differentially Private Image Generation with Multi-Scale Feature Extraction and Residual Channel Attention

  2025cites this paper
• FedSe: Group-Based Sequential Training Strategies for Mitigating Label Skew in Federated Learning

  2025cites this paper
• ADPF: Anti-inference differentially private protocol for federated learning

  2025cites this paper
• Privacy-Enhanced Safe Reinforcement Learning for the Dispatch of a Local Energy Community

  2025cites this paper
• A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation

  2025cites this paper
• Design of an end-to-end recommendation system for crowdsourced road monitoring applications based on machine learning

  2025cites this paper
• DP-SGD-global-adapt-V2-S: Triad improvements of privacy, accuracy and fairness via step decay noise multiplier and step decay upper clipping threshold

  2025cites this paper
• Herd Accountability of Privacy-Preserving Algorithms: A Stackelberg Game Approach

  2025cites this paper
• A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning

  2025cites this paper
• A NTRU Lattice Edge Aggregation Scheme Based on Underwater Acoustic Communication

  2025cites this paper
• Differential Privacy Federated Learning Based on Adaptive Adjustment

  2025cites this paper
• An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review

  2025cites this paper
• Differentially Private Distribution Estimation Using Functional Approximation

  2025cites this paper
• AI management platform for privacy-preserving indoor air quality control: Review and future directions

  2025cites this paper
• UD-LDP: A Technique for optimally catalyzing user driven Local Differential Privacy

  2025cites this paper
• Differentially Private Real-Time Pricing Control for Smart Grids

  2025cites this paper
• Privacy and Fairness in Machine Learning: A Survey

  2025cites this paper
• Towards Integrated Spatial Crowdsourcing: Online Privacy-Preserving Selection

  2025cites this paper
• A quantization-based technique for privacy preserving distributed learning

  2025cites this paper
• Privacy preservation and fairness constraints for few-shot learning based on Lagrange duality

  2025cites this paper
• Investigating vulnerabilities of GPS trip data to trajectory-user linking attacks

  2025cites this paper
• A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack

  2025cites this paper
• A Robust Coverless Audio Steganography Based on Differential Privacy Clustering

  2025cites this paper
• A Trust-Based Personalized Differential Privacy Guarantees for Online Social Networks

  2025cites this paper
• Characterising and Categorising Anonymization Techniques: A Literature-Based Approach

  2025cites this paper
• Privacy- & Utility-Preserving Data Releases over Fragmented Data Using Individual Differential Privacy

  2025cites this paper
• Enhancing Data Privacy: A Comprehensive Survey of Privacy-Enabling Technologies

  2025cites this paper
• Generating prediction clustering graph network analysis data from masked time series with GANs

  2025influential citation
• Privacy and Accuracy-Aware AI/ML Model Deduplication

  2025cites this paper
• Safeguarding Privacy in Real-Time Trajectory Releases for AI-Driven Consumer Applications

  2025cites this paper
• Towards a Better Understanding of Evaluating Trustworthiness in AI Systems

  2025cites this paper
• Maximizing data quality while ensuring data protection in service-based data pipelines

  2025cites this paper
• Sensitivity-Aware Personalized Differential Privacy Guarantees for Online Social Networks

  2025cites this paper
• Role-based federated learning exploiting IPFS for privacy enhancement in IoT environment

  2025cites this paper
• Ensuring Data Confidentiality through an In-Depth Analysis of Advanced Privacy-Preserving Methodologies in Data Science

  2025cites this paper
• Privacy preserving ultra-short-term prediction in clustered wind farms with encrypted data sharing: A secure multi-party computation approach

  2025cites this paper
• Federated Learning with Differential Privacy: An Utility-Enhanced Approach

  2025cites this paper
• Comprehensive Review of Privacy, Utility, and Fairness Offered by Synthetic Data

  2025cites this paper