Latest Articles for Cybersecurity

Timing attacks pose risks to software, revealing sensitive information through execution timing.

New methods identify linked accounts to reduce abusive content on social media.

LEAP improves adversarial testing for natural language processing software.

Research highlights pre-trained models' effectiveness in fixing software vulnerabilities.

This study reviews how IP addresses align with their registered locations.

Phishing tactics are changing as technology advances, posing new risks.

This research uncovers new methods for identifying near-duplicate content on onion sites.

Robust learning ensures machine learning models remain reliable despite data manipulation.

A new method enhances detection accuracy in IoT networks using semi-supervised and semi-asynchronous learning.

A new architecture focuses on enhancing security for mid-range embedded devices.

A study on vulnerabilities in IoT code found online highlights security risks.

Learn how to protect software from side-channel attacks using automated tools.

New methods enhance the resilience of neural networks against adversarial attacks.

Examining the risks and misuse of large language models in technology.

A fresh data set improves analysis of complex cyber attacks for better detection.

Enhancing security and efficiency in power system software updates.

Deepfake technology poses serious risks in media and communication.

Learn how cryptographic protocols protect sensitive digital information.

Exploring critical-time and its role in cyber-physical system security.

Using perplexity to identify risky inputs in language models.

Introducing START, a method to track Rowhammer threat effectively and efficiently.

Examining privacy risks in federated learning and the need for improved defenses.

Examining the risks associated with leading computer vision models and their effectiveness.

Exploring ChatGPT's effectiveness in identifying vulnerabilities in Python code.

CodeMark offers a method to safeguard code datasets through hidden watermarks.

This study explores OOD techniques to improve network intrusion detection systems.

Research reveals vulnerabilities in denoising diffusion models through a new attack method.

Examining vulnerabilities in energy management and the impact of cyber threats.

MDTD detects Trojan triggers across various data types to secure DNNs.

Examining hidden data concerns in machine learning models and their security implications.

New method enhances ADS-B message security while preserving privacy.

New systems are designed to detect fake audio recordings with improved accuracy.

Introducing a collaborative learning framework for enhanced blockchain security.

Examining the traits and motivations of today's cybercriminals.

A look at combining split learning and encryption for better data privacy.

Exploring the dangers of image hijacks affecting vision-language models.

MONDEO combats botnet malware using effective detection methods for mobile devices.

This article explores a new method for managing energy resources to improve grid stability.

Examining vulnerabilities and detection methods for face recognition systems against morphing attacks.

Addressing privacy threats during digital twin migrations in smart transportation.