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tensorflow avatar

tensorflow/privacy

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2,014 estrellas·471 forks·Python·Apache-2.0·3 vistas

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.

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Ver las 30 alternativas a Privacy→

Preguntas frecuentes

¿Qué hace tensorflow/privacy?

Library for training machine learning models with privacy for training data

¿Cuáles son las características principales de tensorflow/privacy?

Las características principales de tensorflow/privacy son: AI Security and Red Teaming, Model Fairness And Privacy, Privacy and Safety.

¿Qué alternativas de código abierto existen para tensorflow/privacy?

Las alternativas de código abierto para tensorflow/privacy incluyen: 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.