Publications

2023

1. In Submission

   Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs

   Carsten Baum, Nikolas Melissaris, Rahul Rachuri, and Peter Scholl
2. ACM CCS

   Ramen: Souper Fast Three-Party Computation for RAM Programs

   Lennart Braun, Mahak Pancholi, Rahul Rachuri, and Mark Simkin
3. In Submission

   Is Passive Security Reasonable in Privacy-Preserving Machine Learning?

   Matthew Jagielski, Rahul Rachuri, and Peter Scholl

2022

1. Crypto

   Le Mans: Dynamic and Fluid MPC for Dishonest Majority

   Rahul Rachuri, and Peter Scholl

2021

1. NDSS

   Tetrad: Actively Secure 4PC for Secure Training and Inference

   Nishat Koti, Arpita Patra, Rahul Rachuri, and Ajith Suresh
2. PPML@NeurIPS

   Adversarial Attacks and Countermeasures on Private Training in MPC

   Daniel Escudero, Matthew Jagielski, Rahul Rachuri, and Peter Scholl

2020

1. NDSS

   Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

   Harsh Chaudhari, Rahul Rachuri, and Ajith Suresh
2. Crypto

   Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits

   Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, and Peter Scholl

2018

1. IEEE SMC

   Modeling Confirmation Bias Through Egoism and Trust in a Multi Agent System

   Seetarama Raju Pericherla, Rahul Rachuri, and Shrisha Rao