
SecML
A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

A Semantics-Enhanced Learnable Vulnerability Detector

DGA-generated domain detection using deep learning models

Suppress vulnerabilities applying Kubernetes context to scans

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…

AI-powered Windows diagnostic & auto-repair tool using Google Gemini. Detect crashes, optimize performance, scan for malware, and generate PowerShell…

Android Antivirus which doesn't require root, adb, ca install and cloud with many features and ways to detect more zero-day malware

VEDAS-Driven Autonomous Generation of Suricata Rules for CVEs

CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples

Google Tensor Cracks

Reverse Shell Detection with Machine Learning

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

FARO - Document Sensitivity Detector

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques

A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.

A serverless networking protocol designed for resilient state synchronization between autonomous agents in fragmented, low-bandwidth networks

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