Latest Articles for Data Security

New methods enhance data privacy while preserving analysis accuracy.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

New methods expose vulnerabilities in medical models through backdoor attacks.

A guide to better comprehend differential privacy and its implications for personal data.

A method to verify identities while protecting personal information.

A flexible system improves access to sensitive information for trusted users.

A look at how on-device learning balances app performance with user privacy.

MIA-Tuner aims to address privacy issues in LLM training data.

Collision-Free Balanced Sequences enhance communication systems by preventing interference.

Explore methods and challenges in maintaining secure communications today.

This study highlights the security challenges posed by DRAM data persistence in FPGA systems.

Validation and confirmation are key for secure blockchain interactions.

Addressing the challenges of adversarial attacks on time series neural networks.

New methods improve machine learning models' defense against adversarial attacks.

This study examines the reliability of rationalization models under adversarial attacks.

Examining Automatic Speech Recognition in Canadian court systems and its impact.

A framework for assessing the security of SDN systems in data centers.

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.