Team

Dr. Ajith Suresh

Postdoctoral Researcher

Contact

work +49 6151 16-27302

Work S2|20 211
Pankratiusstraße 2
64289 Darmstadt

I am a postdoctoral researcher and member of the Cryptography and Privacy Engineering Group (ENCRYPTO) at the Department of Computer Science of Technische Universität Darmstadt, Germany.

My research focuses on the design of privacy-preserving protocols at a large scale for the Internet. During my doctoral studies, I explored the area of privacy-preserving machine learning under the supervision of Prof. Arpita Patra at Indian Institute of Science (IISc), Bangalore.

You can find additional information on my personal website.

Honors and Awards

Work Experience

  • Since 2021/10 Postdoctoral Researcher at ENCRYPTO
  • 2019/11 Research Internship at ENCRYPTO
  • 2013/07 – 2013/08 Software Development Engineer Internship at Amazon Development Centre, Bangalore, India

Studies

Publications

CORE A/A* ranked venues marked in bold.

2021

Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame. SynCirc: Efficient synthesis of depth-optimized circuits for secure computation. In 14. IEEE International Workshop on Hardware-Oriented Security and Trust (HOST'21), IEEE, Washington DC, USA, December 12-15, 2021. To appear. Full version: https://ia.cr/2021/1153. [ pdf | web ]

Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame. ABY2.0: New efficient primitives for 2PC with applications to privacy preserving machine learning (Extended Abstract). 4. Privacy Preserving Machine Learning Workshop (PPML@CCS'21), Virtual Event, November 19, 2021. Virtual Poster. To appear. [ web ]

Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame. ABY2.0: Improved mixed-protocol secure two-party computation with applications to privacy preserving machine learning (Contributed Talk). 3. Privacy-Preserving Machine Learning Workshop (PPML@CRYPTO'21), August 15, 2021. [ web ]

Nishat Koti, Mahak Pancholi, Arpita Patra, and Ajith Suresh. SWIFT: Super-fast and robust privacy-preserving machine learning. In 30. USENIX Security Symposium (USENIX Security'21), pages 2651–2668, USENIX, Virtual Event, August 11-13 2021. Acceptance rate 19%. CORE rank A*. [ pdf ]

Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame. ABY2.0: Improved mixed-protocol secure two-party computation. In 30. USENIX Security Symposium (USENIX Security'21), pages 2165–2182, USENIX, Virtual Event, August 11-13, 2021. Full version: https://ia.cr/2020/1225. Acceptance rate 19%. CORE rank A*. [ pdf | web ]

Ajith Suresh. MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning. PhD thesis, Indian Institute of Science, Bangalore, July 28, 2021.

2020

Arpita Patra and Ajith Suresh. BLAZE: Blazing fast privacy-preserving machine learning. In 27. Network and Distributed System Security Symposium (NDSS'20), Internet Society, San Francisco, CA, USA, February 23-26, 2020. CORE rank A*. [ DOI | pdf ]

Harsh Chaudhari, Rahul Rachuri, and Ajith Suresh. Trident: Efficient 4PC framework for privacy preserving machine learning. In 27. Network and Distributed System Security Symposium (NDSS'20), Internet Society, San Francisco, CA, USA, February 23-26, 2020. CORE rank A*. [ DOI | pdf ]

Megha Byali, Harsh Chaudhari, Arpita Patra, and Ajith Suresh. FLASH: Fast and robust framework for privacy-preserving machine learning. Proceedings on Privacy Enhancing Technologies (PoPETs), 2020(2):459–480, 2020. CORE rank A. [ DOI | pdf ]

2019

Harsh Chaudhari, Ashish Choudhury, Arpita Patra, and Ajith Suresh. ASTRA: High throughput 3PC over rings with application to secure prediction. In 10. ACM Cloud Computing Security Workshop (CCSW'19), pages 81–92, ACM, London, UK, November 11, 2019. [ DOI | pdf ]

2017

Arpita Patra, Pratik Sarkar, and Ajith Suresh. Fast actively secure OT extension for short secrets. In 24. Network and Distributed System Security Symposium (NDSS'17), Internet Society, February 26 - March 1, 2017. CORE rank A*. [ DOI | pdf ]

Ajith Suresh. Fast actively secure ot extension for short secrets. Master's thesis, Indian Institute of Science, Bangalore, 2017.