Popular GitHub Repositories for Trustworthy

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

? Open-Source Evaluation & Testing for AI & LLM systems

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Power Tools for AI Engineers With Deadlines

Discover top AI coding tools for developers, including code editors, completion engines, and natural language converters. Enhance your workflow with AI! ?️?

Deliver safe & effective language models

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

A curated list of trustworthy deep learning papers. Daily updating...

[CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

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

[NeurIPS'24] "Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration"

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

Neural Network Verification Software Tool

TrustEval: A modular and extensible toolkit for comprehensive trust evaluation of generative foundation models (GenFMs)

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

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

A platform accelerating delivery of secure, trustworthy enterprise copilots.

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

A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.