Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

🐢 Open-Source Evaluation & Testing framework for LLMs and ML models

An Easy-to-use Knowledge Editing Framework for LLMs.

The open-sourced Python toolbox for backdoor attacks and defenses.

(ICML 2024) TrustLLM: Trustworthiness in Large Language Models

[NeurIPS-2023] Annual Conference on Neural Information Processing Systems

🚀 A fast safe reinforcement learning library in PyTorch

Code of the paper: A Recipe for Watermarking Diffusion Models

Neural Network Verification Software Tool

A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications

A toolkit for tools and techniques related to the privacy and compliance of AI models.

AI Verify

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

SyReNN: Symbolic Representations for Neural Networks