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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
AI-powered attacks are evading EDR via steganography, AV abuse, and automation, forcing a shift toward combined NDR and EDR ...
Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.
What if a phishing page was generated on the spot?
The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.
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