Latest Articles for Cybersecurity

Analyzing threats and defenses in federated learning against malicious attacks.

Exploring the vulnerabilities of ML models and potential defenses against MIAs.

Learn about adversarial attacks and their impact on machine learning models.

A look at scalable classifiers and conformal prediction for reliable machine learning outcomes.

A tool to identify vulnerabilities in AI-generated Python code is now available.

A look at improving IoT security using existing sensor data for authentication.

A new method using deep learning tackles cascading failures in complex networks.

PASA offers a new method for detecting adversarial samples in deep learning models.

A new system analyzes jailbreak prompts to improve model safety.

FastLogAD improves log anomaly detection speed and accuracy through innovative methods.

PrintListener exposes vulnerabilities in fingerprint authentication through sound analysis.

New methods improve anomaly detection in Network Intrusion Detection Systems.

Improving software security by detecting vulnerabilities before exploitation.

A method to protect data privacy in decentralized learning systems using virtual nodes.

Study reveals data poisoning risks in healthcare language models.

A web-based platform enhances tabletop exercises for better learning in computing.

A new approach to malware behavior search enhances cybersecurity analysis.

Measuring robustness and safety in cyber-physical systems under sensor threats.

An overview of residential proxies, their uses, and associated threats.

Examining privacy issues and solutions in smart grid systems.

S3PHER empowers patients by enabling secure health data sharing with providers.

A new defense mechanism reduces label inference attack risks in collaborative machine learning.

Integrating bug bounty programs improves cybersecurity training through practical experience.

A new method enhances security in federated learning through intermediate outputs analysis.

Evaluating risks of language models to ensure user safety and system integrity.

Using AI to simplify PowerShell code creation for cybersecurity.

Concerns rise over the safety of Text-to-Image models and their misuse.

CUMAD detects hacked IoT devices while minimizing false alerts.

This article explores how invariants can improve smart contract security against attacks.

A look at new methods for securing Quantum Neural Networks against theft.

A study on connections between certified IT products and their security implications.

Introducing UGEs, a new way to keep data safe and usable.

A new method enhances software testing by focusing on real interactions and environments.

A novel system for assessing software vulnerabilities at multiple levels.

Examining the risks of model poisoning attacks in federated learning systems.

Learn how Physically Unclonable Functions improve security in Public Key Infrastructure.

Enhancing security of quantum key distribution with advanced postselection techniques.

This article explores methods to protect privacy while analyzing data effectively.

A secure protocol for protecting user data in machine learning.

The rise of synthetic videos raises issues of detection and misinformation.