Ajith Suresh

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).

Under the supervision of Prof. Thomas Schneider, I am currently conducting post-doctoral research at the Cryptography and Privacy Engineering (ENCRYPTO) group at the Department of Computer Science at the Technical University of Darmstadt. My work orbits around the development of large-scale privacy-preserving protocols for the Internet. In addition, I am exploring 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

Education

Research

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

• HyFL: A Hybrid Approach For Private Federated Learning.
  Authors: Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert and Hossein Yalame. (Under Submission)
• ScionFL: Secure Quantized Aggregation for Federated Learning.
  Authors: Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame and Avishay Yanai. (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)
• Privadome: Protecting Citizen Privacy from Delivery Drones.
  Authors: Vinod Ganapathy, Eikansh Gupta, Arpita Patra, Gokulnath Pillai and Ajith Suresh. (Under Submission)
• MPClan: Protocol Suite for Privacy-Conscious Computations.
  Authors: Nishat Koti, Shravani Patil, Arpita Patra and Ajith Suresh. (Under Submission)

• 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.
  PoPETS'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*]

• MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning.
  Authors: Ajith Suresh.
  Doctoral Symposium (AIMLSystems'22)
• Efficient Three-Party Shuffling Using Precomputation.
  Authors: Andreas Brüggemann, Thomas Schneider, Ajith Suresh and Hossein Yalame.
  ACM CCS'22 (Poster)
• Privacy-Preserving Epidemiological Modeling on Mobile Graphs.
  Authors: Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider and Ajith Suresh.
  ACM CCS'22 (Poster)
• MPClan: Protocol Suite for Privacy-Conscious Computations.
  Authors: Nishat Koti, Shravani Patil, Arpita Patra and Ajith Suresh.
  ACM CCS'22 (Poster), NDSS'22 (Poster)
• Tetrad: Fair and Robust 4PC Framework for Privacy-Preserving Machine Learning.
  Authors: Nishat Koti, Arpita Patra, Rahul Rachuri and Ajith Suresh.
  PPML'21 (ACM CCS'21 Workshop)
• ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.
  Authors: Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame.
  PriML'21 (NeurIPS'21 Workshop), PPML'21 (ACM CCS'21 Workshop)
  PPML'21 (CRYPTO'21 Workshop)
• MPCLeague: Robust and Efficient Mixed-protocol Framework for 4-party Computation.
  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.
  Authors: Nishat Koti, Mahak Pancholi, Arpita Patra and Ajith Suresh.
  ARCS'22 (Symposium), DPML'21 (ICLR Workshop 2021)
  PriML/PPML'20 (NeurIPS 2020 Workshop)
• ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
  Authors: Harsh Chaudhari, Ashish Choudhury, Arpita Patra and Ajith Suresh.
  PPML'19 (ACM CCS'19 Workshop)

Awards & Certifications

• Represented India in the "Window to the World" session at the 8th Heidelberg Laureate Forum.
• Selected as one among 225 young researchers to participate in the 8th Heidelberg Laureate Forum.
• Recipient of Google PhD Fellowship 2019.
• Organiser of Secure Multi-Party Computation: Theory and Practice Workshop at IISc (January, 2020).
• Received travel grant to attend Privacy Preserving Machine Learning Workshop, CCS 2019, London.
• Received travel grant to attend Workshop: Theory and Practice of Secure Multiparty Computation 2016, Aarhus University, Denmark.
• Secured All India Rank of 807 with a score of 688 in GATE 2014 among (approximately) 1,55,190 students in India.
• Best Outgoing student in Computer Science and Engineering (P Rathnaswamy Memorial Endowment) for the year 2014.
• First prize in Coding Competition, CODESTORM, conducted by IEEE Computer Society (March 2013).
• Received Central Sector Scholarship by Government of India (August 2010).
• Received Malayala Manorama Merit Scholarship (February 2008).

Curriculum vitae

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