Mihaela Ion

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #30,799 of 35,345 by trust here, #30,347 by citations
• Privacy & Security — 12 citations into it

Whom Mihaela Ion trusts overall

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

1. Benny Pinkas
2. Zvika Brakerski
3. Pascal Paillier
4. Craig Gentry
5. Peter Rindal
6. Ivan Bjerre Damgård
7. Thomas Schneider
8. Junfeng Fan
9. Yan Huang
10. Changyu Dong

Who trusts Mihaela Ion overall

1. Tancrède Lepoint

Papers from Mihaela Ion's perspective

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

1. Random oracles are practical: a paradigm for designing efficient protocols
2. Fair exchange with a semi-trusted third party (extended abstract)
3. New Directions in Cryptography
4. Efficient Private Matching and Set Intersection
5. (Leveled) Fully Homomorphic Encryption without Bootstrapping
6. Privacy-Preserving Set Operations
7. Fully homomorphic encryption using ideal lattices
8. Keyword Search and Oblivious Pseudorandom Functions
9. Efficient Batched Oblivious PRF with Applications to Private Set Intersection (Conference on Computer and Communications Security)
10. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

Their papers

• Performance evaluation of Attribute-Based Encryption: Toward data privacy in the IoT (2014) — 184 citations
• On Deploying Secure Computing Commercially: Private Intersection-Sum Protocols and their Business Applications (2019) — 51 citations
• Private Intersection-Sum Protocol with Applications to Attributing Aggregate Ad Conversions (2017) — 102 citations