Ajith Suresh

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #26,925 of 35,345 by trust here, #31,361 by citations
• Computational Theory and Mathematics — 35 citations into it
• Privacy & Security — 22 citations into it
• Information Systems — 13 citations into it; #6,219 of 8,771 by trust here, #7,705 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Computer Networks and Communications — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Ajith Suresh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Donald Beaver
2. Thomas Schneider
3. Payman Mohassel
4. Vladimir Kolesnikov
5. Oded Goldreich
6. Dan Bogdanov
7. Yehuda Lindell
8. Benny Pinkas
9. Samee Zahur
10. Mihir Bellare

Who trusts Ajith Suresh overall

1. Arpita Patra
2. Fatemehsadat Mirshghallah

Papers from Ajith Suresh's perspective

Ordered by how strongly the researchers Ajith Suresh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fair exchange with a semi-trusted third party (extended abstract)
2. Secure Two-Party Computation is Practical
3. TASTY: tool for automating secure two-party computations
4. Fairplay - Secure Two-Party Computation System
5. Sharemind: A Framework for Fast Privacy-Preserving Computations
6. Multiparty Computation from Somewhat Homomorphic Encryption
7. Faster Secure Two-Party Computation Using Garbled Circuits
8. Improved Garbled Circuit: Free XOR Gates and Applications
9. Efficient Multiparty Protocols Using Circuit Randomization
10. The round complexity of secure protocols

Their papers

• ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation (2020) — 319 citations
• Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning (2019) — 239 citations