腐败与扰动的稳健性(ICLR 2019)
ml-safety 开源项目推荐(26 个)
ml-safety 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库更难的ImageNet测试集(CVPR 2021)
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Deliver safe & effective language models
PromptInject 是一个模块化组装提示的框架,旨在定量分析 LLMs 对对抗性提示攻击的鲁棒性。🏆 最佳论文奖 @ NeurIPS 机器学习安全研讨会 2022
Aligning AI With Shared Human Values (ICLR 2021)
ImageNet-R(endition) and DeepAugment (ICCV 2021)
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
📚 A curated list of papers & technical articles on AI Quality & Safety
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
The Combined Anomalous Object Segmentation (CAOS) Benchmark
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Jiminy Cricket Environment (NeurIPS 2021)
Predicting Out-of-Distribution Error with the Projection Norm
Evaluation & testing framework for computer vision models
Build confidence in your AI with systematic slice-based testing
AAAI 2025 Tutorial on AI Safety
Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".
This repository contains the project for the Advanced AI course @CentraleSupélec
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ml-safety。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 5186 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。