
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…

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

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

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

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

Interactive dashboards and libraries for responsible AI model debugging, covering error analysis, fairness, interpretability, counterfactuals, causal…

Interpretability and explainability of data and machine learning models

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

Automated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…

Algorithms for outlier, adversarial and drift detection

OGhidra bridges Large Language Models (LLMs) via Ollama with the Ghidra reverse engineering platform, enabling AI-driven binary analysis through…

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

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

Sec-Gemini is a cutting-edge AI model designed to enhance cybersecurity capabilities and empower defenders in the ongoing battle against cyber…

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Detects process injection and memory manipulation used by malware. Finds RWX regions, shellcode patterns, API hooks, thread hijacking, and process…

Scalable assembly analysis platform for indexing, clone search, and executable classification using static, dynamic, and machine-learning techniques…