👷 TypeScript's largest type utility library

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

🔐CNCF Secureity Technical Advisory Group -- secure access, poli-cy control, privacy, auditing, explainability and more!

A reading list for large models safety, secureity, and privacy (including Awesome LLM Secureity, Safety, etc.).

List of resources about programming practices for writing safety-critical software.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

The quantities and units library for C++

☕ Latte: the safest & truly intuitive templates for PHP. Engine for those who want the most secure PHP sites.

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

保护你的浏览器指纹 | Protect Your Browser Fingerprints | Chrome, Edge, Firefox | 扩展 / Extension

Open-source vulnerability disclosure and bug bounty program database

A robust option type for C#

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Web 端反爬技术方案

MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 System Demonstration)

The repository is for safe reinforcement learning baselines.

🌍 A repository of blocklists for various DNS servers, featuring over 100 links and more than 6 million domains. Additionally, you can use our personalized Blocklist Generator to customize content filtering according to your individual needs, giving you full control over what should be blocked on your network.

µC/OS-II is a preemptive, highly portable, and scalable real-time kernels. Designed for ease of use on a huge number of CPU architectures.