Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.

Abstract: Industrial Internet of Things (IIoT) faces significant security challenges such as data privacy and vulnerabilities. Unsupervised anomaly detection aims to identify abnormal patterns by ...

According to Greg Brockman on Twitter, Codex is now demonstrating significant improvements in identifying security vulnerabilities within code. OpenAI is exploring trusted access programs specifically ...

This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.

Simple example Zephyr WiFi code that is targeted for the ESP32-S3, ESP32-C3, Raspberry Pico W (Infineon CYW43439) and Nordic nRF7002, although it should be platform-agnostic (one of the advantages of ...