activity
20192022
most citedSecure Medical Image Analysis with CrypTFlow

6 citations · 12 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CY20226 cited

Telechain: Bridging Telecom Policy and Blockchain Practice

Sudheesh Singanamalla, Apurv Mehra, Nishanth Chandran +7

The use of blockchain in regulatory ecosystems is a promising approach to address challenges of compliance among mutually untrusted entities. In this work, we consider applications…

cs.CR2021

Multi-institution encrypted medical imaging AI validation without data sharing

Arjun Soin, Pratik Bhatu, Rohit Takhar +6

Adoption of artificial intelligence medical imaging applications is often impeded by barriers between healthcare systems and algorithm developers given that access to both private…

cs.CR2021

SIRNN: A Math Library for Secure RNN Inference

Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli +4

Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciproc…

cs.CR20206 cited

Secure Medical Image Analysis with CrypTFlow

Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran +6

We present CRYPTFLOW, a system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a button. To do this, we build two compone…

cs.DC2020

Blockene: A High-throughput Blockchain Over Mobile Devices

Sambhav Satija, Apurv Mehra, Sudheesh Singanamalla +5

We introduce Blockene, a blockchain that reduces resource usage at member nodes by orders of magnitude, requiring only a smartphone to participate in block validation and consensus…

cs.CR2020

CrypTFlow2: Practical 2-Party Secure Inference

Deevashwer Rathee, Mayank Rathee, Nishant Kumar +4

We present CrypTFlow2, a cryptographic framework for secure inference over realistic Deep Neural Networks (DNNs) using secure 2-party computation. CrypTFlow2 protocols are both cor…