Popular GitHub Repositories for Password Safety

A curated list of awesome responsible machine learning resources.

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

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

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

Secrets of RLHF in Large Language Models Part I: PPO

? Palmr. is an open-source file-sharing platform focused on privacy and security. It enables users to upload, manage, and share files with features like password protection, custom links, and access control without tracking or limitations. Designed for seamless and secure sharing, Palmr. is completely free.

Corruption and Perturbation Robustness (ICLR 2019)

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。

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

? LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ? Extracts signals from prompts & responses, ensuring safety & security. ?? Features include text quality, relevance metrics, & sentiment analysis. ? A comprehensive tool for LLM observability. ?

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

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.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

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

The repository is for safe reinforcement learning baselines.

A framework to evaluate the generalization capability of safety alignment for LLMs

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Deliver safe & effective language models