EUVD-2018-19152

Malware in sbrugna...

EUVD-2021-1015

Malware in sbrugna...

EUVD-2015-0622

Malware in sbrugna...

EUVD-2025-10061

Malicious code in bioql PyPI...

EUVD-2022-27304

Malicious code in bioql PyPI...

EUVD-2022-36967

Malicious code in bioql PyPI...

EUVD-2025-15535

Malicious code in bioql PyPI...

EUVD-2024-2709

Malicious code in bioql PyPI...

EUVD-2023-35299

Malicious code in bioql PyPI...

EUVD-2025-29356

Malicious code in bioql PyPI...

EUVD-2025-29357

Malicious code in bioql PyPI...

EUVD-2025-14213

Malicious code in bioql PyPI...

EUVD-2021-30615

Malicious code in bioql PyPI...

EUVD-2025-7031

Malicious code in bioql PyPI...

EUVD-2022-27314

Malicious code in bioql PyPI...

EUVD-2024-21408

Malicious code in bioql PyPI...

AutoML in Cybersecurity: An Empirical Study

Automated machine learning AutoML has emerged as a promising paradigm for automating machine learning ML pipeline design, broadening AI adoption. Yet its reliability in complex domains such as cybersecurity remains underexplored. This paper systematically evaluates eight open-source AutoML...

Heritage Foundation Uses Bogus Stat to Push a Trans Terrorism Classification

By inflating numbers and narrowing definitions, Heritage promotes a false link between transgender identity and violence in its push for the FBI to create a new terrorism category...

Vision Transformers: the Threat of Realistic Adversarial Patches

The increasing reliance on machine learning systems has made their security a critical concern. Evasion attacks enable adversaries to manipulate the decision-making processes of AI systems, potentially causing security breaches or misclassification of targets. Vision Transformers ViTs have gained...

A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks

The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-based intrusions targeting drone communication protocols. Detecting and classifying these intrusions is inherently...