Latest Articles for Cybersecurity

This paper examines energy-efficient approaches for AI in cybersecurity.

A look at how software vulnerabilities are identified, fixed, and shared.

A deep look into the security risks of VS Code extensions.

Engineers develop smart solutions to protect power grids from cyber threats.

Autoencoders enhance the detection of unusual user behavior in Okta logs.

Learn how typing patterns can boost your online account safety.

Explore the rise of TinyML and the security issues it faces.

CLEM helps threat hunters detect unusual activities in cyber networks.

ProP offers an effective way to catch backdoor attacks on machine learning models.

AIMC chips show promise in defending AI from clever attacks.

A look at safety cases to manage AI risks effectively.

Learn how Quantum Key Distribution keeps digital messages safe.

Learn how people are bypassing safety limits on advanced language models.

A look into the strengths and weaknesses of CyberSecEval in code security.

Learn how cryptographic agility keeps our data secure in an evolving landscape.

Examining strategies to improve deep learning's reliability against adversarial threats.

O-RAN offers better coverage but faces security challenges that need addressing.

This article discusses protecting our personal data from language models.

Trap-MID offers a clever way to protect data from hackers.

Examining the vulnerabilities and defenses of new AI models.

Learn how VR technology can threaten your privacy.

This study assesses the reliability of features for phishing URL detection across datasets.

Learn how adversarial attacks manipulate deep learning through differentiable rendering techniques.

Discover methods for secure data analysis without compromising personal information.

Exploring the strengths of human versus automated code generation.

AI systems face new risks from edge-only attacks that mislead predictions.

Learn how smart inverters impact power systems and raise cybersecurity concerns.

A plugin safeguards federated learning models from harmful updates without compromising patient privacy.

This paper examines how timing differences in file systems can expose sensitive information.

Learn how adaptive methods improve control systems against cyber threats.

This article discusses the safety and security issues in multimodal AI systems.

FPGAs offer flexibility but introduce significant security risks that need to be addressed.

Discover how recent incidents highlight vulnerabilities in Linux packages.

A new method helps protect language models from harmful backdoor attacks.

Examining the complexities of remote voting technologies for military members.

A new approach enhances patch retrieval for software vulnerabilities.

A method to recognize fake faces while retaining knowledge of previous forgeries.

Research explores language models’ ability to analyze social media interactions and tackle bullying.

A new method enhances the safety of code generated by language models.

A look at trust management in connected technology.