Microsoft exposes a cryptojacking campaign using SEO poisoning and ScreenConnect to target high-performance PCs, with ...

Abstract: Building change detection (BCD) has achieved remarkable progress with deep learning, yet precise boundary delineation remains a challenging problem. Existing methods often produce blurry ...

A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal Confluence ...

Google’s Project Zero demonstrates a new zero-click exploit for the Pixel 10 phones, showing a full escalation from remote to kernel without user interaction. During the investigation Project Zero ...

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

Abstract: We present a general framework for training spiking neural networks (SNNs) to perform binary classification on multivariate time series, with a focus on step-wise prediction and high ...

Forbes contributors publish independent expert analyses and insights. Davey Winder is a veteran cybersecurity writer, hacker and analyst. This voice experience is generated by AI. Learn more. This ...

Google has announced expanded Binary Transparency for Android as a way to safeguard the ecosystem from supply chain attacks. "This new public ledger ensures the Google apps on your device are exactly ...

A security researcher has discovered that Microsoft Edge will load all your stored passwords into memory in plaintext at startup, making it easy for malware to scrape those passwords. When you ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...

Edge detection constitutes a core operation in image processing, aimed at identifying significant transitions in pixel intensity that correspond to object boundaries and scene structure. Classical ...