
adversarial-robustness-toolbox
Python library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…

Python library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Scalable Python library for time series analysis via matrix profiles, enabling motif discovery, anomaly detection, semantic segmentation, and…

Security Scanner for Agent Skills

Bidirectional token-classification model for PII detection and masking in text, with CLI for redaction, evaluation, and finetuning on-premises.

AI-powered threat intelligence platform for automated CVE/ransomware monitoring, domain surveillance, data leak detection, and incident response with…

A unified framework for privacy-preserving data analysis and machine learning

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.

Deep Learning models for network traffic classification

AI-Powered Reverse Engineering Plugin for IDA Pro

image scaling attacks for multi-modal prompt injection

Convolutional neural network for analyzing pentest screenshots

Metasploit for machine learning.

Train, evaluate, and explore neural networks with built-in adversarial robustness tools, including PGD attacks, adversarial training, and robust…

Research runtime for differentiable neural computers, GPU-based CPU emulation, and program synthesis. Features neural ALU, constant-time crypto, JEPA…

A machine learning tool that ranks strings based on their relevance for malware analysis.

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs,…