Ajith Suresh

Senior MPC Researcher · TII Abu Dhabi · (971) 505077924 · ajith.suresh@tii.ae

I am a chronic talker and lifelong learner who enjoys what I do. I was born in a remote village in Kerala, India's beautiful state known as "God's Own Country." My parents instilled in me the importance of following my dreams. I earned a Bachelor of Science in Computer Science and Engineering (CSE) from the College of Engineering (CET), Trivandrum. I pursued my passion at the Indian Institute of Science (IISc), where I earned my Masters (Research) and Ph.D in CSE under the guidance of Prof. Arpita Patra. During my doctoral studies, I investigated the field of MPC for a small population, with applications to Privacy-Preserving Machine Learning (PPML).

I am a Senior MPC Researcher at The Technology Innovation Institute (TII), Abu Dhabi, and I am affiliated with the Cryptography Research Center at TII. Previously, I conducted 1.5 years of post-doctoral research at the Cryptography and Privacy Engineering (ENCRYPTO) group at the Department of Computer Science at the Technical University of Darmstadt under the supervision of Prof. Thomas Schneider. My research orbits around the the design and development of applied MPC protocols, alongside exploring the fields of privacy-preserving machine learning and federated learning.

I have been awarded a Google PhD Fellowship for 2019. When you're bored, go to World Through My Eyes.


Experience

Technology Innovation Institute, Abu Dhabi

Senior MPC Researcher (At CRC)
May 2023 - Present

Technical University of Darmstadt, Germany

Post-doctoral Researcher (At ENCRYPTO)
October 2021 - March 2023

Indian Institute of Science (IISc), Bangalore, India

Research Associate (At CrIS)
August 2021 - September 2021

Technical University of Darmstadt, Germany

Research Intern (At ENCRYPTO)
November 2019

Amazon Development Centre, Bangalore, India

Software Development Engineer (SDE) Intern
July 2013 - August 2013

Education

Indian Institute of Science (IISc), Bangalore, India

Doctor of Philosophy (Ph. D.)
Computer Science - Secure Multi-party Computation

CGPA: 9 / 10

September 2017 - July 2021

Indian Institute of Science (IISc), Bangalore, India

Master of Technology (M.Tech, Research)
Computer Science - Secure Multi-party Computation

CGPA: 6.83 / 8

August 2014 - June 2017

College of Engineering (CET), Trivandrum, India

Bachelor of Technology (B.Tech)
Computer Science and Engineering

CGPA: 8.81 / 10

June 2010 - April 2014

Research

Click here for more information about the publications, including links to full versions.

Preprints
  • WW‐FL: Secure and Private Large‐Scale Federated Learning.
    Authors: Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert and Hossein Yalame.
    (Under Submission)
  • Privacy‑Preserving Epidemiological Modeling on Mobile Graphs.
    Authors: Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider and Ajith Suresh.
    (Under Submission)
  • Precision and Privacy: Advancing Real‐Time Pricing in Smart Grids with Secure Computation.
    Authors: Soumyadyuti Ghosh, Boyapally Harishma, Ajith Suresh, Arpita Patra, Soumyajit Dey and Debdeep Mukhopadhyay.
    (Under Submission)

Publications
  • FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC.
    Authors: Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas and Ajith Suresh.
    CHES'25 [CORE - A]
  • High‐Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings.
    Authors: Christopher Harth‐Kitzerow, Ajith Suresh, Yonqing Wang, Hossein Yalame, Georg Carle and Murali Annavaram.
    PETS'25 [CORE - A]
  • ScionFL: Effciient and Robust Secure Quantized Aggregation.
    Authors: Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame and Avishay Yanai.
    IEEE SaTML'24 (Runner-Up Distinguished Paper Award)
  • Privadome: Delivery Drones and Citizen Privacy.
    Authors: Vinod Ganapathy, Eikansh Gupta, Arpita Patra, Gokulnath Pillai and Ajith Suresh.
    PETS'24 [CORE - A]
  • Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater.
    Authors: Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh and Hossein Yalame.
    IEEE S&P'24 [CORE - A*]
  • PrivMail: A Privacy-Preserving Framework for Secure Emails.
    Authors: Gowri R Chandran, Raine Nieminen, Thomas Schneider and Ajith Suresh.
    ESORICS'23 [CORE - A]
  • MPClan: Protocol Suite for Privacy-Conscious Computations.
    Authors: Nishat Koti, Shravani Patil, Arpita Patra and Ajith Suresh.
    Journal of Cryptology (JoC'23) [CORE - A*]
  • FLUTE: Fast and Secure Lookup Table Evaluations.
    Authors: Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh and Hossein Yalame.
    IEEE S&P'23 [CORE - A*]
  • SafeFL: MPC‐friendly framework for Private and Robust Federated Learning.
    Authors: Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle and Hossein Yalame.
    DLSP @ IEEE S&P'23
  • Comments on “Privacy‑Enhanced Federated Learning Against Poisoning Adversaries”.
    Authors: Thomas Schneider, Ajith Suresh and Hossein Yalame.
    IEEE TIFS'23 [CORE - A]
  • Tetrad: Fair and Robust 4PC Framework for Privacy-Preserving Machine Learning.
    Authors: Nishat Koti, Arpita Patra, Rahul Rachuri and Ajith Suresh.
    NDSS'22 [CORE - A*]
  • SynCirc: Efficient Synthesis of Depth‑Optimized Circuits for Secure Computation.
    Authors: Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame.
    IEEE HOST'21
  • SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.
    Authors: Nishat Koti, Mahak Pancholi, Arpita Patra and Ajith Suresh.
    USENIX Security'21 [CORE - A*]
  • ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.
    Authors: Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame.
    USENIX Security'21 [CORE - A*]
  • BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
    Authors: Arpita Patra and Ajith Suresh.
    NDSS'20 [CORE - A*]
  • Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.
    Authors: Harsh Chaudhari, Rahul Rachuri and Ajith Suresh.
    NDSS'20 [CORE - A*]
  • FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.
    Authors: Megha Byali, Harsh Chaudhari, Arpita Patra and Ajith Suresh.
    PETS'20 [CORE - A]
  • ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
    Authors: Harsh Chaudhari, Ashish Choudhury, Arpita Patra and Ajith Suresh.
    ACM CCSW'19
  • Fast Actively Secure OT Extension for Short Secrets.
    Authors: Arpita Patra, Pratik Sarkar and Ajith Suresh.
    NDSS'20 [CORE - A*]


Awards & Certifications


Curriculum vitae

My CV is available here - [CV] [CV-Short].