88 citations · 212 across the 10 of their papers we have counts for
10 papers
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks
Yongqin Wang, Pratik Sarkar, Nishat Koti +2
Secure Multiparty Computation (MPC) protocols enable secure evaluation of a circuit by several parties, even in the presence of an adversary who maliciously corrupts all but one of…
MPClan: Protocol Suite for Privacy-Conscious Computations
Nishat Koti, Shravani Patil, Arpita Patra +1
The growing volumes of data being collected and its analysis to provide better services are creating worries about digital privacy. To address privacy concerns and give practical s…
Privadome: Protecting Citizen Privacy from Delivery Drones
Gokulnath Pillai, Eikansh Gupta, Ajith Suresh +2
As e-commerce companies begin to consider using delivery drones for customer fulfillment, there are growing concerns around citizen privacy. Drones are equipped with cameras, and t…
Doubly nonlinear Schrödinger ground states on metric graphs
Filippo Boni, Simone Dovetta
We investigate the existence of ground states at prescribed mass on general metric graphs with half-lines for focusing doubly nonlinear Schrödinger equations involving both a stand…
Tetrad: Actively Secure 4PC for Secure Training and Inference
Nishat Koti, Arpita Patra, Rahul Rachuri +1
Mixing arithmetic and boolean circuits to perform privacy-preserving machine learning has become increasingly popular. Towards this, we propose a framework for the case of four par…
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Arpita Patra, Ajith Suresh
Machine learning tools have illustrated their potential in many significant sectors such as healthcare and finance, to aide in deriving useful inferences. The sensitive and confide…
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra +1
Performing machine learning (ML) computation on private data while maintaining data privacy, aka Privacy-preserving Machine Learning~(PPML), is an emergent field of research. Recen…
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
Harsh Chaudhari, Ashish Choudhury, Arpita Patra +1
The concrete efficiency of secure computation has been the focus of many recent works. In this work, we present concretely-efficient protocols for secure -party computation (3PC…
Fast Actively Secure OT Extension for Short Secrets
Arpita Patra, Pratik Sarkar, Ajith Suresh
Oblivious Transfer (OT) is one of the most fundamental cryptographic primitives with wide-spread application in general secure multi-party computation (MPC) as well as in a number…
Communication and Round Efficient Information Checking Protocol
Arpita Patra, C. Pandu Rangan
In this paper, we present a very important primitive called Information Checking Protocol (ICP) which plays an important role in constructing statistical Verifiable Secret Sharing…