11 citations · 15 across the 4 of their papers we have counts for
4 papers
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training
Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal +2
We introduce S++, a simple, robust, and deployable framework for training a neural network (NN) using private data from multiple sources, using secret-shared secure function evalua…
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem
Pratyush Kumar, Aishwarya Das, Debayan Gupta
The three body problem is a special case of the n body problem where one takes the initial positions and velocities of three point masses and attempts to predict their motion over…
A Peculiarity in the Parity of Primes
Debayan Gupta, Mayuri Sridhar
We create a simple test for distinguishing between sets of primes and random numbers using just the sum-of-digits function. We find that the sum-of-the-digits of prime numbers does…
Reuse It Or Lose It: More Efficient Secure Computation Through Reuse of Encrypted Values
Benjamin Mood, Debayan Gupta, Kevin Butler +1
Two-party secure function evaluation (SFE) has become significantly more feasible, even on resource-constrained devices, because of advances in server-aided computation systems. Ho…