Search Results for author: Sayandeep Saha

Found 2 papers, 0 papers with code

TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

no code implementations3 Feb 2023 Adrien Benamira, Tristan Guérand, Thomas Peyrin, Sayandeep Saha

This paper presents TT-TFHE, a deep neural network Fully Homomorphic Encryption (FHE) framework that effectively scales Torus FHE (TFHE) usage to tabular and image datasets using a recent family of convolutional neural networks called Truth-Table Neural Networks (TTnet).

Deep-Lock: Secure Authorization for Deep Neural Networks

no code implementations13 Aug 2020 Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu

Trained Deep Neural Network (DNN) models are considered valuable Intellectual Properties (IP) in several business models.

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