Aaron Segal

Privacy & Security · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Privacy & Security — 33 citations into it; #172 of 709 by trust here, #25 by citations

Whom Aaron Segal trusts overall

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

1. Johannes Blömer

Who trusts Aaron Segal overall

1. Jingdong Wang
2. Wei David Liu
3. Jun Wang
4. Herv'e J'egou
5. Mingsheng Long
6. Jingkuan Song
7. Fumin Shen
8. Mohammad Norouzi
9. Kaiming He
10. L. V. D. van der Maaten

Papers from Aaron Segal's perspective

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

1. Differential Privacy
2. How to share a secret
3. New Directions in Cryptography
4. Completeness theorems for non-cryptographic fault-tolerant distributed computation
5. How to play ANY mental game
6. Secure Multiparty Computation Goes Live
7. Fair exchange with a semi-trusted third party (extended abstract)
8. Deep Learning
9. Deep Learning with Differential Privacy
10. Privacy-preserving deep learning

Their papers

• A new approach to interdomain routing based on secure multi-party computation (2012) — 2,191 citations
• Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017) — 4,229 citations
• Practical Secure Aggregation for Federated Learning on User-Held Data (2016) — 662 citations