awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
tensorflow avatar

tensorflow/privacy

0
View on GitHub↗
2,014 星标·471 分支·Python·Apache-2.0·4 次浏览

Privacy

Library for training machine learning models with privacy for training data

Features

  • AI Security and Red Teaming - Library for training ML models with differential privacy.
  • Model Fairness And Privacy - Implements privacy-preserving training techniques for machine learning models.
  • Privacy and Safety - TensorFlow optimizers for training with differential privacy.

Star 历史

tensorflow/privacy 的 Star 历史图表tensorflow/privacy 的 Star 历史图表

AI 搜索

探索更多 awesome 仓库

用简单的语言描述您的需求 —— AI 将根据相关性为您从数千个精选开源项目中进行排序。

Start searching with AI

Privacy 的开源替代方案

相似的开源项目,按与 Privacy 的功能重合度排序。
  • nvidia/nemo-guardrailsNVIDIA 的头像

    NVIDIA/NeMo-Guardrails

    6,453在 GitHub 上查看↗

    NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language model conversational systems. It functions as security middleware that intercepts inputs and outputs to block prompt injections, jailbreaks, and sensitive data leaks, while providing a conversational dialogue manager to define structured interaction flows through configuration files. The framework includes a hallucination filter to screen model outputs for factual accuracy and a specialized modeling language for defining conversational flows and constraints. It provides capabiliti

    Python
    在 GitHub 上查看↗6,453
  • trusted-ai/adversarial-robustness-toolboxTrusted-AI 的头像

    Trusted-AI/adversarial-robustness-toolbox

    6,056在 GitHub 上查看↗

    The Adversarial Robustness Toolbox (ART) is an open-source library that provides a unified framework for evaluating, defending, and certifying machine learning models against adversarial threats. It wraps models from any framework behind a common estimator interface, enabling composable pipelines for attack generation, defense application, robustness certification, and privacy auditing across evasion, poisoning, and extraction threats. The library distinguishes itself by covering the full adversarial ML security lifecycle within a single toolkit. It supports gradient-based adversarial example

    Pythonadversarial-attacksadversarial-examplesadversarial-machine-learning
    在 GitHub 上查看↗6,056
  • trigaten/learn_promptingtrigaten 的头像

    trigaten/Learn_Prompting

    4,709在 GitHub 上查看↗

    Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques required to craft effective inputs and improve the quality of generative AI outputs. The project covers advanced prompting strategies to enhance reasoning, reliability, and output quality. This includes techniques for task decomposition, chain-of-thought reasoning, and the use of few-shot and zero-shot guidance. It also addresses model security through the study of prompt hacking, vulnerability analysis, and privacy auditing to prevent sensitive data leaks. The scope extends to th

    MDXchatgptchatgpt-apideep-learning
    在 GitHub 上查看↗4,709
  • azure/counterfitA

    Azure/counterfit

    0在 GitHub 上查看↗
    在 GitHub 上查看↗0
查看 Privacy 的所有 30 个替代方案→

常见问题解答

tensorflow/privacy 是做什么的?

Library for training machine learning models with privacy for training data

tensorflow/privacy 的主要功能有哪些?

tensorflow/privacy 的主要功能包括:AI Security and Red Teaming, Model Fairness And Privacy, Privacy and Safety。

tensorflow/privacy 有哪些开源替代品?

tensorflow/privacy 的开源替代品包括: nvidia/nemo-guardrails — NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language… trusted-ai/adversarial-robustness-toolbox — The Adversarial Robustness Toolbox (ART) is an open-source library that provides a unified framework for evaluating,… trigaten/learn_prompting — Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques… azure/counterfit. cleverhans-lab/cleverhans — Cleverhans is an adversarial machine learning library and toolkit designed to generate adversarial examples,… bethgelab/foolbox — .. raw:: html.