Deep Learning / encryption

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Image on Image encryption with autoencoders

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he-transformer 🌿
187 (+0) ⭐

nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

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pond πŸ‚
2 (+0) ⭐

Experimental library for deep learning on encrypted data

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PySyft 🌿
5904 (+4) ⭐

A library for encrypted, privacy preserving machine learning

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This is a fun project with python and pandas. I created a excel file of emojis for encryption. Here i used my own easy algo to encryt any text to emoji. No machine learning/ Deep learning used.

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11 (+0) ⭐

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

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CryptoDL 🌿
4 (+0) ⭐

Privacy-preserving Deep Learning based on homomorphic encryption (HE)

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he-transformer 🌿
46 (+0) ⭐

nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

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PPDL πŸ‚
6 (+0) ⭐

Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)

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2 (+0) ⭐

Ever sent a hidden message in invisible ink to your friends? Are you intrigued by the idea of cryptic message exchange? How about using images for this exchange? Steganography is what you need! It is one of the techniques of encryption and over the years, steganography has been used to encode a lower resolution image into a higher resolution image. But steganography using naive methods, like LSB manipulation, is susceptible to statistical analysis. Our model extends existing deep learning research for encoding multiple secret images onto a single cover by leveraging convolutional neural networks based deep learning architectures. DeepSteg allows senders to embed up to three secret images onto a single cover using an encoder network and then have multiple decoder networks to obtain the embedded secrets.

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