COA Secure Obfuscation and Applications
Ran Canetti, Suvradip Chakraborty, Dakshita Khurana, Nishant Kumar, Oxana Poburinnaya, Manoj Prabhakaran Published at: Eurocrypt, 2022 (To Appear)
Abstract coming soon. Read more
Publications
Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar & Mayank Rathee Published at: Eurocrypt, 2021
We present new and improved FSS gate constructions for applications motivated by ML. More specifically, we improve upon the best previous key sizes for Distributed Comparison Function and also provide new FSS gates for functions which are useful in mixed-mode/fixed-point computation. Read more
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi & Rahul Sharma Published at: ACM Conference on Computer and Communications Security (CCS), 2020
We present CrypTFlow2, a cryptographic framework for secure inference over realistic Deep Neural Networks (DNNs) using secure 2-party computation. Read more
A Practical Model for Collaborative Databases: Securely Mixing, Searching and Computing
Shweta Agrawal, Rachit Garg, Nishant Kumar & Manoj Prabhakaran Published at: European Symposium on Research in Computer Security (ESORICS), 2020
In this work we introduce the notion of Functionally Encrypted Datastores, which allows multiple data owners to pool in data anonymously at two non-colluding servers and later allows malicious clients to perform search-and-compute queries on the collected data. Read more
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi & Rahul Sharma Published at: IEEE Symposium on Security and Privacy (S&P), 2020
We present CrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a button. The system enables secure inference on real-world networks like ResNet50 over the ImageNet dataset with running time of about 30 seconds for semi-honest security and under 2 minutes for malicious security. Read more