Latest Articles for Data Security

A look at NFT metadata storage risks and decentralized alternatives.

This research explores how blockchain can improve IoT service monitoring.

Exploring the intersection of quantum computing and machine learning for data security.

A new approach improves efficiency in lattice basis computation using the generalized Euclidean algorithm.

This article evaluates FAST and AEZ for disk encryption performance on FPGAs.

Rorqual enhances transaction processing in blockchain using Trusted Execution Environments.

A new method improves efficiency in secure machine learning using DCT with FHE.

Innovative solution improves healthcare data management and privacy using advanced technologies.

Learn how continuous-variable QKD enhances secure key distribution.

Examining vulnerabilities in EaaS and new watermarking defense strategies.

PromptSmooth improves Med-VLMs' accuracy against adversarial attacks efficiently.

Modifications to MOTION2NX improve efficiency and security in image inference tasks.

This protocol enhances accessibility and security for quantum computing users.

Exploring advanced one-way functions to secure data against quantum threats.

A new compression method enhances private data querying efficiency.

Learn how watermarking secures AI models and supports creators' rights.

Examining new methods to enhance neural network efficiency and security.

A framework for multilevel verification to improve data security in decentralized systems.

Speaker anonymization techniques safeguard personal information while maintaining communication clarity.

This article explores the role of deep learning in linguistic steganalysis.

Discovering secure methods for data sharing in advanced communication systems.

Enhancing efficiency in secure processing of machine learning tasks.

Examining how important data points attract more security risks in machine learning.

A new method for assessing robustness in ML classifiers using adversarial distance.

A new system improves how organizations create access control policies.

Integrating artificial intelligence into O-RAN's SMO enhances network management and performance.

A new method improves accuracy in model extraction from quantum neural networks.

Learned Bloom Filters enhance data security while minimizing false positives.

Pseudorandom codes ensure secure data transmission and protect against errors.

A study on how voice assistants profile users and the privacy concerns involved.

This article outlines Reverso, a method to enhance QUIC protocol efficiency.

Examining key security issues related to large language models in AI.

A new framework improves recommendations while protecting user privacy.

Learn how PQC strengthens federated learning against quantum threats.

Learn how machine unlearning enhances privacy in machine learning models.

Discover methods to secure communication in distributed systems against eavesdroppers.

FreeMark enables watermarking of deep learning models without affecting performance.

A look into the risks and measures for protecting sensitive data.

This article explores how QUBO can enhance cryptographic solutions.

Oblivious data structures protect sensitive information by hiding access patterns.