Search Results for author: Arpita Patra

Found 4 papers, 0 papers with code

Tetrad: Actively Secure 4PC for Secure Training and Inference

no code implementations5 Jun 2021 Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh

The competence of Tetrad is tested with benchmarks for deep neural networks such as LeNet and VGG16 and support vector machines.

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

no code implementations20 May 2020 Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh

In this work, we propose SWIFT, a robust PPML framework for a range of ML algorithms in SOC setting, that guarantees output delivery to the users irrespective of any adversarial behaviour.

Fairness

BLAZE: Blazing Fast Privacy-Preserving Machine Learning

no code implementations18 May 2020 Arpita Patra, Ajith Suresh

This motivated the area of Privacy-preserving Machine Learning (PPML) where privacy of the data is guaranteed.

Fairness

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction

no code implementations5 Dec 2019 Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh

In this work, we present concretely-efficient protocols for secure $3$-party computation (3PC) over a ring of integers modulo $2^{\ell}$ tolerating one corruption, both with semi-honest and malicious security.

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