
alibi-detect
Algorithms for outlier, adversarial and drift detection

Algorithms for outlier, adversarial and drift detection

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

A deep learning toolkit for log-based anomaly detection

MCP server for Google search and page fetching using headless Chromium

The world's fastest agentic crawler. Reclaimed. Reinvented. Ready for war.

Embedded GRU neural network for real-time human behavior verification via mouse movement analysis, detecting automated analysis systems, sandboxes,…

Programmable packet inspection engine with NIDS, DNS classification, frequency analysis, and auto-regex generation. Supports Python/Ruby/Java/Lua…

Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

This repository demonstrates a machine learning pipeline for detecting MITRE ATT&CK techniques from logs and enriching the output using a local LLM.

FLNET2023 is a dataset designed for intrusion detection in Federated Learning scenarios. It's built using the CORE emulator, simulating a realistic…

Research toolkit for analyzing AI agent behavioral patterns through multi-disciplinary corpus analysis. Parses session logs, runs 23 analytical…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Autoencoder-based anomaly detection for identifying phishing domains using CERT Polska warning list data, with Jupyter notebooks for research and…

Implements machine and deep learning methods for indoor UWB jammer localization, including hyperparameter optimization, classification, and…

Real-time anomaly detection system for Apache Struts CVE-2017-5638 exploit using streaming analytics, 3-gram byte analysis, and Count-Min Sketch.…

Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…