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CrypTen download for Linux

Free download CrypTen Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named CrypTen whose latest release can be downloaded as CrypTenv0.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named CrypTen with OnWorks for free.

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- 1. Descargue esta aplicación en su PC.

- 2. Ingrese en nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.

- 3. Cargue esta aplicación en dicho administrador de archivos.

- 4. Inicie el emulador en línea OnWorks Linux o Windows en línea o el emulador en línea MACOS desde este sitio web.

- 5. Desde el SO OnWorks Linux que acaba de iniciar, vaya a nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.

- 6. Descarga la aplicación, instálala y ejecútala.

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CriptaDiez


DESCRIPCIÓN

CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data.



Caracteristicas

  • Implements privacy-preserving machine learning using Secure Multiparty Computation
  • Provides CrypTensor, a PyTorch-like encrypted tensor supporting autograd and modules
  • Enables encrypted model training and inference with minimal code changes
  • Offers rich tutorials and examples for encrypted neural networks and models
  • Supports GPU acceleration for efficient encrypted computation
  • Focused on research use cases and extensible for experimental privacy applications


Lenguaje de programación

JavaScript, Pitón


Categorías

Marcos, aprendizaje automático

This is an application that can also be fetched from https://sourceforge.net/projects/crypten.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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