Latest Articles for Data Protection

Examining the impact of nudges on password change behavior after data breaches.

New methods enhance data removal processes in machine learning models.

New methods combat backdoor attacks on machine learning models for increased security.

New cryptographic methods are vital for protecting data against quantum threats.

A new method for analyzing online privacy policies using advanced language models.

Exploring the role of entropy in enhancing quantum communication security.

Research shows reversible circuits can create secure pseudorandom permutations.

Learn about fuzzing techniques to enhance web application security.

Uncovering the risks posed by backdoor attacks on intelligent systems.

Non-malleable extractors enhance randomness and protect sensitive data from tampering.

A new method enhances detection of microarchitectural vulnerabilities in computer systems.

New methods improve security in cryptographic systems using quantum mechanics.

A new approach to finding security flaws in processors using the Shesha framework.

UGradSL offers a practical solution for removing sensitive information from machine learning models.

A look at kernel safety methods to combat advanced attacks like Spectre.

Examining the Rowhammer flaw and its implications for data security.

Investigating the security flaws in Memory Tagging Extension and speculative execution attacks.

Competition reveals vulnerabilities and defenses in language model security.

Exploring methods to protect personal images from AI misuse.

Learn how backdoor attacks threaten machine learning systems and methods to defend against them.

Cybersecurity evolves with zero-trust networking to combat rising threats.

Assessing the effectiveness of Cyber Essentials against evolving cyber threats.

Learn how differential privacy protects individual data while allowing useful analysis.

A study evaluating the effectiveness of LLMs in spotting Android app vulnerabilities.

Examining risks and defenses against backdoor attacks in AI models.

This study examines privacy issues and protection methods for AI classifiers.

This article discusses enhancing security for IoT networks using LEO satellites.

Exploring Google's new method for personalized advertising without cookies.

A method for securing images through advanced encryption techniques.

A new framework evaluates methods for anonymizing biometric data to enhance privacy.

New methods aim to secure machine learning models against backdoor threats.

A fresh approach exposes vulnerabilities in deep learning models, raising privacy concerns.

Study reveals how 5G data patterns can expose user activity.

Combining neural networks with cryptography enhances secure communication methods.

Discover the role of quantum authentication in enhancing digital security.

Innovative method enhances IoT security using artificial noise and rate-splitting techniques.

Exploring new approaches to enhance DRAM security against Rowhammer threats.

Discover how quantum codes protect information in quantum computing.

Study reveals security risks from data poisoning in large language models.

A new framework enhances data security for AI applications.