
AIX360
Interpretability and explainability of data and machine learning models

Interpretability and explainability of data and machine learning models

Automatic extraction of relevant features from time series:

Practical black-box adversarial packet generation against encrypted traffic classification with minimal overhead and full packet recoverability.

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

AI Smart Contract Security Analysis and PoC Generation Framework

Hybrid ML and heuristic-based URL phishing detector with real-time analysis, explainable confidence scores, and REST API for programmatic security…

ThreatSentry AI is an intelligent threat hunting dashboard that leverages machine learning to proactively identify and prioritize risks in your…

This repository provides an in-depth analysis of the Log4Shell vulnerability (CVE-2021-44228) and implements a machine learning-based approach to…

First iteration of ML based Feedback WAF

An Open-Source Package for Textual Adversarial Attack.

Open source entropy based invalid traffic detection and pre-bid filtering.