Akshaya Mani

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Privacy & Security — 11 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Akshaya Mani trusts overall

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

1. Cynthia Dwork
2. Erin E. Kenneally
3. Ran Canetti
4. Andrew Neff
5. Claus-Peter Schnorr
6. Ellis Fenske
7. Amos Fiat
8. David Chaum
9. Kobbi Nissim
10. Frank McSherry

Papers from Akshaya Mani's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Untraceable electronic mail, return addresses, and digital pseudonyms
3. A public key cryptosystem and a signature scheme based on discrete logarithms
4. Universally composable security: a new paradigm for cryptographic protocols
5. Our Data, Ourselves: Privacy Via Distributed Noise Generation
6. Smooth sensitivity and sampling in private data analysis
7. How to Prove Yourself: Practical Solutions to Identification and Signature Problems
8. A verifiable secret shuffle and its application to e-voting
9. Efficient Private Matching and Set Intersection
10. A learning theory approach to noninteractive database privacy

Their papers

• Understanding Tor Usage with Privacy-Preserving Measurement (2018) — 90 citations
• Distributed Measurement with Private Set-Union Cardinality (2017) — 28 citations