
BIDO
Image-based Android malware detection framework tackling obfuscation and concept drift. Includes curated datasets and Python code for training…

Image-based Android malware detection framework tackling obfuscation and concept drift. Includes curated datasets and Python code for training…

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

CERTITUDE - A python package to classify URLs as malicious or benign

End-to-end Python framework for time series intelligence, offering anomaly detection, forecasting, change point detection, AutoML, ensembles, and…

Deep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…

Fully automatic censorship removal for language models

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports…

Programmable guardrails for LLM chat apps: enforce input/output rails, block jailbreaks and prompt injections, detect hallucination, and mask…

Open-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in…

Algorithms for outlier, adversarial and drift detection

Convolutional neural network for analyzing pentest screenshots

An Open-Source Package for Textual Adversarial Attack.

An AI-powered Personal Identifiable Information (PII) scanner.

Fully automatic censorship removal for language models

A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral…

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…