Shiho Moriai
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #21,137 of 35,345 by trust here, #9,092 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Shiho Moriai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shiho Moriai overall
Papers from Shiho Moriai's perspective
Ordered by how strongly the researchers Shiho Moriai trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Deep Learning with Differential Privacy
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- SecureML: A System for Scalable Privacy-Preserving Machine Learning
- Scalable and Secure Logistic Regression via Homomorphic Encryption
- and s
- Foundations of Cryptography: Volume 1, Basic Tools
- Cryptanalysis of Block Ciphers with Overdefined Systems of Equations (International Conference on the Theory and Application of Cryptology and Information Security)
Their papers
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (2018) — 1,671 citations
- Privacy-Preserving Deep Learning: Revisited and Enhanced (2017) — 206 citations
- The 128-Bit Blockcipher CLEFIA (Extended Abstract) (2007) — 438 citations
- Camellia: A 128-Bit Block Cipher Suitable for Multiple Platforms - Design and Analysis (2000) — 507 citations