About Me

I am a chronic talker, lifelong learner and I love what I do. Born in a remote village of Kerala, I was raised by parents who taught me to chase my dreams. I completed my B.Tech in Computer Science and Engineering (CSE) from College of Engineering, Trivandrum. I've followed my passion into IISc where I completed my M.Tech (Research) in CSE and am currently pursuing my Ph.D under the guidance of Dr. Arpita Patra. My work orbits around Secure Multi-party Computation (MPC), more specifically in the area of MPC for small number of parties with applications to Privacy Preserving Machine Learning (PPML).

I am a recipient of Google PhD Fellowship 2019 for the year 2019. When I'm not working on a fun project in our lab, you may find me touring the city on my cycle with my camera. When boredom strikes, may be watch the World Through My Eyes.

Publications / Preprints

Tetrad: Fair and Robust 4PC Framework for Privacy-Preserving Machine Learning [Eprint]
Authors: Nishat Koti, Arpita Patra, Rahul Rachuri and Ajith Suresh
Under Submission

SynCirc: Efficient Synthesis of Depth‐Optimized Circuits for Secure Computation [Eprint]
Authors: Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame
IEEE HOST 2021

MPCLeague: Robust and Efficient Mixed-protocol Framework for 4-party Computation [Link] [Poster]
Authors: Nishat Koti, Arpita Patra and Ajith Suresh
IEEE S&P 2021 (Poster), DPML'21 (ICLR Workshop 2021)

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning [Eprint] [Arxiv]
Authors: Nishat Koti, Mahak Pancholi, Arpita Patra and Ajith Suresh
Usenix Security Symposium 2021
DPML'21 (ICLR Workshop 2021), NeurIPS 2020 Workshop - PRIML/PPML'20

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation [Eprint]
Authors: Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame
Usenix Security Symposium 2021

BLAZE: Blazing Fast Privacy-Preserving Machine Learning [Eprint] [Arxiv] [PPT]
Authors: Arpita Patra and Ajith Suresh
NDSS 2020

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning [Eprint]
Authors: Megha Byali, Harsh Chaudhari, Arpita Patra and Ajith Suresh
PETS 2020

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning [Eprint] [Arxiv] [PPT]
Authors: Harsh Chaudhari, Rahul Rachuri and Ajith Suresh
NDSS 2020

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction [Eprint] [Arxiv]
Authors: Harsh Chaudhari, Ashish Choudhury, Arpita Patra and Ajith Suresh
ACM CCSW 2019, PPML 2019

Fast Actively Secure OT Extension for Short Secrets [Eprint] [Arxiv]
Authors: Arpita Patra, Pratik Sarkar and Ajith Suresh
NDSS 2017 [Conference Version]

Recognition / Awards

Selected to participate in the 8th Heidelberg Laureate Forum.

Awarded with Google PhD Fellowship 2019.

Talks / Presentations

MPC for small population with applications to Privacy‐Preserving Machine Learning.
EECS Research Students Symposium 2021, Virtual Event, India - May 2021

MPCLeague:Robust and Efficient Mixed‐protocol Framework for 4‐party Computation.
Distributed and Private Machine Learning (DPML), ICLR Workshop 2021, Virtual Event - May 2021

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.
ARCS Symposium 2021, Virtual Event, India - February 2021

BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
ARCS Symposium 2021, Virtual Event, India - February 2021

MPC MEETS ML: Efficient Privacy Preserving Machine Learning Techniques.
EECS Research Students' Symposium 2020, Virtual Event - July 2020

MPC MEETS ML: Efficient Privacy Preserving Machine Learning Techniques.
International Symposium on Current Trends in Research and Innovation (ISCTRI’20), CHRIST (Deemed to be University), Lavasa (Online) - July 2020

BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
NDSS, San Diego 2020

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.
NDSS, San Diego 2020

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
14th Inter-Research-Institute Student Seminar in Computer Science (IRISS) 2020, IIT Gandhinagar - February 2020

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
TU Darmstadt, Germany - November 2019

MPC MEETS ML: High Throughput Secure ML Prediction.
Amazon Project Review, IISc - March 2019

Cryptography Basics.
QIP STC on Foundations of Cryptography, IISc - August 2018

Fast Actively Secure OT Extension for Short Secrets.
EECS Symposium, IISc - April 2017

Fast Actively Secure OT Extension for Short Secrets.
The Network and Distributed System Security Symposium (NDSS) 2017, San Diego, USA - February 2017

Oblivious Transfer (OT) and OT Extensions.
Workshop on Cryptography, Information Security Education and Awareness Project Phase II, IISc - February 2016

Two party computation (GMW construction).
Workshop on Cryptography, Information Security Education and Awareness Project Phase II, IISc - February 2016

Message Authentication Codes.
Workshop on Cryptography, Information Security Education and Awareness Project Phase II, IISc - February 2016

Efficient Actively Secure Oblivious Transfer Extension.
10th Inter-Research-Institute Student Seminar in Computer Science (IRISS) 2016, Trivandrum, Kerala - January 2016

Visits

The Network and Distributed System Security Symposium (NDSS) 2020 San Diego, USA. February 2020

14th Inter-Research-Institute Student Seminar in Computer Science (IRISS) 2020 IIT Gandhinagar. February 2020

26th ACM Conference on Computer and Communications Security (CCS) 2019 London, United Kingdom. November 2019

Thomas Schnieder, Department of Computer Science of Technische Universität Darmstadt, Germany. November 2019

Indocrypt 2017. Institute of Mathematical Sciences, Chennai. December 2017

MPC School and Workshop. IIT Bombay. March 2017

The Network and Distributed System Security Symposium (NDSS) 2017. San Diego, California, USA. February 2017

Workshop: Theory and Practice of Secure Multiparty Computation 2016. Aarhus, Denmark. June 2016