Edamame's runtime security platform detects AI coding agent “intent drift,” secret theft and supply-chain attacks using host ...
A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...
Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for benchmarking, developing and deploying deep learning anomaly detection algorithms.
ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...
This repository contains an end-to-end MLOps project that builds, tests, and containerizes a real-time anomaly detection API using time-series data. The Numenta Anomaly Benchmark (NAB) dataset is used ...
Satellites detected a strange gravity signal off the coast of Africa nearly 20 years ago, suggesting something unusual had happened deep within the planet to distort its gravitational field, according ...
Abstract: The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, security ...
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