Latest Articles for Data Privacy

Machine Learning Balancing Data Privacy and Model Utility with Influence Functions

A method to optimize privacy settings for better data protection and utility.

2025-09-26T08:04:06+00:00 ― 6 min read

Databases Assessing Synthetic Data for Reliable Analysis

A new framework ensures synthetic data answers are trustworthy for research.

2025-09-26T06:53:00+00:00 ― 7 min read

Machine Learning Protecting Privacy in Graph Neural Networks

A framework to ensure user privacy in GNNs while maintaining accuracy.

2025-09-26T06:45:06+00:00 ― 5 min read

Machine Learning Federated Learning and Data Reconstruction Attacks

A look at challenges in Federated Learning from data reconstruction attacks.

2025-09-26T02:39:40+00:00 ― 6 min read

Cryptography and Security Learning in the Dark: A New Approach to Privacy in Machine Learning

A method enabling machine learning on encrypted data to protect user privacy.

2025-09-26T02:16:30+00:00 ― 7 min read

Machine Learning Privacy-Preserving Best Arm Identification

A study on identifying the best option while ensuring data privacy.

2025-09-25T23:35:16+00:00 ― 6 min read

Information Retrieval Balancing Privacy and Quality in Recommendations

This method enhances recommendations while protecting user data privacy.

2025-09-25T17:50:54+00:00 ― 5 min read

Distributed, Parallel, and Cluster Computing Hierarchical Federated Learning: Balancing Efficiency and Privacy

Exploring ways to improve data sharing while ensuring user privacy.

2025-09-25T13:53:54+00:00 ― 6 min read

Cryptography and Security Protecting Individual Privacy in Data Analysis

Exploring differential privacy methods for secure data insights.

2025-09-25T12:42:48+00:00 ― 6 min read

Databases A New Approach to Differential Privacy in Query Processing

This article discusses a framework for managing privacy in multi-analyst scenarios.

2025-09-25T09:17:24+00:00 ― 5 min read

Computation and Language Reassessing Privacy Policies with Language Models

How advanced language tools are transforming privacy policy analysis.

2025-09-25T09:01:36+00:00 ― 6 min read

Machine Learning Improving Federated Learning with FedGKD Framework

FedGKD enhances federated learning for Graph Neural Networks by optimizing task feature extraction.

2025-09-25T00:20:12+00:00 ― 5 min read

Cryptography and Security Security Risks in LLM Platform Plugins

Learn about the risks of using plugins on LLM platforms.

2025-09-24T23:32:48+00:00 ― 4 min read

Cryptography and Security Risks of Acoustic Side-Channel Attacks

Acoustic attacks threaten data security through sound capturing from keyboards.

2025-09-24T19:12:06+00:00 ― 7 min read

Cryptography and Security A New Approach to Secure Link Prediction

Introducing a protocol for privacy-preserving link prediction in distributed graphs.

2025-09-24T17:21:30+00:00 ― 6 min read

Machine Learning The Threat of Model Leeching in AI

Exploring how attackers exploit large language models for knowledge extraction.

2025-09-24T14:35:36+00:00 ― 6 min read

Cryptography and Security Enhancing Privacy in Split Learning with Homomorphic Encryption

A new method protects sensitive data during machine learning training.

2025-09-24T13:56:06+00:00 ― 5 min read

Machine Learning Advancements in Decentralized Federated Learning Algorithms

DFedADMM and DFedADMM-SAM improve model training while ensuring data privacy.

2025-09-24T07:50:26+00:00 ― 6 min read

Cryptography and Security New Framework Tackles Cybersecurity in IoT

Fed-LSAE boosts security in federated learning and counters poisoning attacks.

2025-09-23T21:12:48+00:00 ― 6 min read

Cryptography and Security Balancing Data Collection and Privacy

A new toolchain for safe data analysis without compromising user privacy.

2025-09-23T20:17:30+00:00 ― 5 min read

Information Theory Security Challenges in Non-Orthogonal Multiple Access (NOMA)

NOMA presents unique security risks due to shared channels among multiple users.

2025-09-23T19:10:09+00:00 ― 5 min read

Information Theory Enhancing Security in NOMA-Enabled IIoT Networks

This study examines secure communication methods in IIoT using NOMA techniques.

2025-09-23T18:17:43+00:00 ― 6 min read

Computation and Language Safeguarding Privacy in Large Language Models

Knowledge sanitization helps protect sensitive information in language models.

2025-09-23T17:55:18+00:00 ― 6 min read

Human-Computer Interaction Evaluating Usability of Differential Privacy Tools

Study examines user-friendly aspects of popular differential privacy tools.

2025-09-22T20:27:36+00:00 ― 5 min read

Signal Processing Harnessing Edge Machine Learning for Activity Recognition

A look into Edge ML and its role in recognizing human activities.

2025-09-22T20:08:55+00:00 ― 6 min read

Networking and Internet Architecture The Future of AI in Wireless Networks

AI's role in transforming network management for advanced wireless technologies.

2025-09-22T19:56:00+00:00 ― 6 min read

Machine Learning Improving Federated Learning with Gradient Inversion

A new method enhances Federated Learning by addressing staleness and device differences.

2025-09-22T19:08:36+00:00 ― 5 min read

Cryptography and Security Secure Computation with Spiking Neural P Systems

A new protocol ensures privacy in computations using SN P systems.

2025-09-22T12:41:30+00:00 ― 5 min read

Machine Learning Advancements in Personalized Federated Learning with PFL-GAN

Introducing PFL-GAN: a tailored solution for client variability in federated learning.

2025-09-22T06:23:00+00:00 ― 6 min read

Machine Learning Improving Federated Learning with New Clustering Method

A new approach enhances federated learning for diverse client data.

2025-09-21T23:55:12+00:00 ― 7 min read

Machine Learning Addressing Harmful Content in Generative Models

A look at machine unlearning to improve generative models and their outputs.

2025-09-21T23:23:36+00:00 ― 6 min read

Machine Learning Advancements in Federated Transfer Learning for Finance

A new method enhances model accuracy through federated learning and kernel regression.

2025-09-21T06:57:42+00:00 ― 5 min read

Machine Learning Understanding Differential Privacy in Data Analysis

Differential privacy protects personal data during analysis, ensuring individual privacy.

2025-09-21T04:26:04+00:00 ― 4 min read

Machine Learning Advancements in Federated Learning with FDEQ

A look at Federated Deep Equilibrium Learning and its impact on AI.

2025-09-21T03:22:48+00:00 ― 6 min read

Machine Learning SANGEA: A New Method for Synthetic Graph Generation

SANGEA offers a scalable approach to create high-quality synthetic graphs.

2025-09-21T03:14:54+00:00 ― 6 min read

Multiagent Systems Building Trust in Collaborative Machine Learning

A guide to collaborative distributed machine learning while maintaining data privacy.

2025-09-20T22:30:30+00:00 ― 6 min read

Computers and Society Managing Data Sharing Through the Multiverse Framework

A new approach to secure data sharing while ensuring privacy and compliance.

2025-09-20T17:06:36+00:00 ― 7 min read

Health Informatics Trust in AI: A Study on ChatGPT's Role in Healthcare

Examining user trust in ChatGPT for health-related decisions.

2025-09-20T16:05:00+00:00 ― 6 min read

Quantitative Methods Advances in Genotype Imputation While Protecting Privacy

SHIELD combines genetic analysis with privacy safeguards for secure research.

2025-09-20T14:55:39+00:00 ― 6 min read

Health Informatics Synthetic Data Revolutionizes COVID-19 Risk Prediction for Veterans

Synthetic data aids in predicting COVID-19 risks among Veterans while ensuring privacy.

2025-09-20T13:48:30+00:00 ― 5 min read