AIX360

AI Explainability 360 v0.3.0 ✨ NEW: IBM Research has a new In-Context Explainability 360 ICX360 toolkit that extends explainability to LLMs , specifically in terms of the input given to the LLM. Please check it out! 🚀✨ The AI Explainability 360 toolkit is an open-source library that supports...

secretflow

简体中文｜English SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides: An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols. A device flow layer modeling...

cleverhans

CleverHans latest release: v4.0.0 This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continu...

awesome-malware-analysis

Awesome Malware Analysis A curated list of awesome malware analysis tools and resources. Inspired by awesome-python and awesome-php. Malware Collection Anonymizers Honeypots Malware Corpora Open Source Threat Intelligence Tools Other Resources Detection and Classification Online Scanners and...

Manati

ManaTI Project Machine Learning for Threat Intuitive Analysis The goal of the ManaTI project is to develop machine learning techniques to assist an intuitive threat analyst to speed the discovery of new security problems. The machine learning will contribute to the analysis by finding new...

URL_CHECKER

URL Phishing Checker A lightweight, web-based tool that detects whether a URL is likely phishing or safe using a hybrid approach of Machine Learning Random Forest/SVM and heuristic rule-based analysis. Built for educational purposes and experimentation in cybersecurity and applied AI. Overview...

network-attack-detection

Network Attack Detection using Machine Learning Description This project leverages machine learning techniques to classify network attacks such as Port Scanning, Denial of Service DoS, and malware. The input data is in the Netflow V9 format, which is a standard format used by Cisco. The...

ML-for-RNGs

ML-for-RNGs Using Machine Learning to predict RNGs sequences...

ThreatSentry-AI

ThreatSentry AI: AI-Powered Threat Hunting Tool Automate external asset discovery, intelligently enrich with multi-source data, and leverage ensemble machine learning to predict and prioritize risk. Transform alert fatigue into actionable intelligence. 🚀 Mission Statement ThreatSentry AI eliminat...

FreeMOCA

Continual Learning Trajectory as Memory for Replay-Free Consolidation in Malicious Code Analysis !NOTE This is official implementation of the paper Continual Learning Trajectory as Memory for Replay-Free Consolidation in Malicious Code Analysis. FreeMOCA Pipeline FreeMOCA operates in the followin...

1earn

Everything is hard at the beginning, and then it stays hard... Introduction : The original intention of this project is to share knowledge resources, allowing more people to access and understand the fields of security and operations. However, due to my limited ability, there will inevitably be...

NoLongerEvil-Thermostat

Nest Thermostat Firmware Setup 🏆 FULU Bounty Winner 🏆 Hack House and this project are the official winners of the FULU Bounty for Nest Learning Thermostat Gen 1/2 Hardware Alternative: If you're interested in the hardware side of things, check out https://sett.homes for a drop-in PCB replacement...

machine_learning_security

Machine Learning and Security Source codes about machine learning and security. Line up. Cyber security and Machine Learning course The elementary training course of Machine learning for security engineer. Vulnerabilities of Machine Learning Summary of Machine Learning vulnerability. Analytics...

offensive-ai-compilation

Offensive AI Compilation A curated list of useful resources that cover Offensive AI. 📁 Contents 📁 🚫 Abuse 🚫 🧠 Adversarial Machine Learning 🧠 ⚡ Attacks ⚡ 🔒 Extraction 🔒 ⚠️ Limitations ⚠️ 🛡️ Defensive actions 🛡️ 🔗 Useful links 🔗 ⬅️ Inversion or inference ⬅️ 🛡️ Defensive actions 🛡️ 🔗 Useful links 🔗 💉...

deep-pwning

Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary. Note that deep-pwning in its current state is no where close to maturity or completion. It is meant to be experimented with, expanded...

flare-vm

FLARE-VM Welcome to FLARE-VM - a collection of software installations scripts for Windows systems that allows you to easily setup and maintain a reverse engineering environment on a virtual machine VM. FLARE-VM was designed to solve the problem of reverse engineering tool curation and relies on t...

anomaly-flow

Anomaly-Flow Framework for implementing Intrusion Detection Systems NIDS aimed at identifying anomalies in network flows using Machine Learning models. Reference paper: Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection Create the...

RustScan

➡️ Discorddiscord | Installation Guidetoc-install | Usage Guideusage-guide ⬅️ Fast, smart, effective. !Arch Linux packagebadge-1 !Built with Rustbadge-2 !GitHub All Releasesbadge-3 !Crates.iobadge-4 !Discordbadge-5 !Actionsbadge-6 🤔 What is this? !fastspeed-1 The Modern Port Scanner. Find ports...

Cybersecurity-Mastery-Roadmap

🛡️ Ultimate Cybersecurity Mastery Roadmap A comprehensive, step-by-step guide to mastering cybersecurity from beginner to expert level with curated resources, tools, and career guidance 📋 Table of Contents Introduction How to Use This Roadmap Roadmap Overview Foundation Phase Technical Skills Phas...

PQCrypto-LWEKE

FrodoKEM: Learning with Errors Key Encapsulation This C library implements FrodoKEM , an IND-CCA secure key encapsulation KEM protocol based on the well-studied Learning with Errors LWE problem 1,3, which in turn has close connections to conjectured-hard problems on generic, "algebraically...