Cryptography and Information Security Lab

Department of Computer Science and Automation
Ajith Suresh
Ajith Suresh
PhD

Update

I am currently a post-doctoral researcher at the Cryptography and Privacy Engineering (ENCRYPTO) group of Technical University of Darmstadt under the supervision of Prof. Thomas Schneider. My new webpage is available here.

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) and Ph.D in CSE under the guidance of Dr. Arpita Patra. During my doctoral studies, my research focused on 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 boredom strikes, you may visit World Through My Eyes.

Ajith Suresh
Ajith Suresh
PhD
Publications and Preprints (12)
Privadome: A Framework for Citizen Privacy in the Delivery Drone Era

Gokulnath PillaiEikansh GuptaAjith SureshVinod Ganapathy and Arpita Patra

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MPClan: Protocol Suite for Privacy-Conscious Computations

Nishat KotiShravani PatilArpita Patra and Ajith Suresh

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Tetrad: Actively Secure 4PC for Secure Training and Inference

Nishat KotiArpita PatraRahul Rachuri and Ajith Suresh

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SynCirc: Efficient Synthesis of Depth‐Optimized Circuits for Secure Computation

Arpita PatraThomas SchneiderAjith Suresh and Hossein Yalame

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MPCLeague: Robust and Efficient Mixed-protocol Framework for 4-party Computation

Nishat KotiArpita Patra and Ajith Suresh

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SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

Nishat KotiMahak PancholiArpita Patra and Ajith Suresh

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ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation

Arpita PatraThomas SchneiderAjith Suresh and Hossein Yalame

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BLAZE: Blazing Fast Privacy-Preserving Machine Learning

Arpita Patra and Ajith Suresh

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FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning

Megha ByaliHarsh ChaudhariArpita Patra and Ajith Suresh

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Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

Harsh ChaudhariRahul Rachuri and Ajith Suresh

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ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction

Harsh ChaudhariAshish ChoudhuryArpita Patra and Ajith Suresh

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Fast Actively Secure OT Extension for Short Secrets

Arpita PatraPratik Sarkar and Ajith Suresh

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Awards

Ajith Suresh has been awarded with a commendation certificate in recognition of his excellent Ph.D thesis.

Ajith Suresh has been awarded with a commendation certificate in recognition of his excellent Ph.D thesis.

Ajith Suresh has been selected to represent India in the "Window to the World" session at the 8th Heidelberg Laureate Forum.

Ajith Suresh has been selected to participate in the 8th Heidelberg Laureate Forum.

Ajith Suresh has been awarded with Google PhD Fellowship 2019.

Ajith and Harsh received student stipends to attend ACM CCS 2019 at London, UK.

Talks / Presentations

  • SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. 30th USENIX Security Symposium 2021, Virtual Event, - August 2021
  • SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. CNI Networks Seminar Series 2021, Virtual Event, - June 2021
  • 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