Peter Rindal

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 96 citations into it; #4,863 of 35,345 by trust here, #10,667 by citations
• Privacy & Security — 43 citations into it; #135 of 709 by trust here, #404 by citations
• Computational Theory and Mathematics — 40 citations into it; #964 of 12,182 by trust here, #2,060 by citations
• Information Systems — 11 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Computer Networks and Communications — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Peter Rindal trusts overall

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

1. Benny Pinkas
2. Ran Canetti
3. Moni Naor
4. Craig Gentry
5. Thomas Schneider
6. Jaideep Vaidya
7. Wenliang Du
8. Yehuda Lindell
9. Zvika Brakerski
10. Michael Zohner

Who trusts Peter Rindal overall

1. Sameer Wagh
2. Mihaela Ion
3. Vladimir Kolesnikov
4. Rahul Rachuri
5. David Enthoven
6. Hao Chen
7. Qiang Yang
8. Nishant Kumar
9. Fatemehsadat Mirshghallah
10. Ajith Suresh

Papers from Peter Rindal's perspective

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

1. Fully homomorphic encryption using ideal lattices
2. Privacy Preserving Data Mining
3. How to share a secret
4. Fair exchange with a semi-trusted third party (extended abstract)
5. Protocols for secure computations
6. Security and Composition of Multiparty Cryptographic Protocols (Journal of Cryptology)
7. Efficient Private Matching and Set Intersection
8. Privacy preserving auctions and mechanism design
9. Efficient oblivious transfer protocols
10. Extending Oblivious Transfers Efficiently

Their papers

• ABY3: A Mixed Protocol Framework for Machine Learning (2018) — 920 citations
• Fast Private Set Intersection from Homomorphic Encryption (2017) — 461 citations
• Labeled PSI from Fully Homomorphic Encryption with Malicious Security (2018) — 250 citations
• Improved Private Set Intersection Against Malicious Adversaries (2017) — 143 citations
• Private Collaborative Neural Network Learning (2017) — 73 citations