Valerio Pastro
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #3,906 of 35,345 by trust here, #5,390 by citations
- Computational Theory and Mathematics — 27 citations into it; #1,101 of 12,182 by trust here, #711 by citations
- Information Systems — 14 citations into it; #586 of 8,771 by trust here, #594 by citations
- Privacy & Security — 11 citations into it; #190 of 709 by trust here, #194 by citations
Whom Valerio Pastro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Gentry
- Nigel P. Smart
- Ivan Bjerre Damgård
- Samee Zahur
- Marcel Keller
- Zvika Brakerski
- Payman Mohassel
- Nicolas Gama
- Phong Q. Nguyen
- Yuanmi Chen
Who trusts Valerio Pastro overall
- Marcel Keller
- Yehuda Lindell
- Ivan Bjerre Damgård
- Shreya Sharma
- Nigel P. Smart
- Toshinori Araki
- Ronald Cramer
- David E. Evans
- Valerie Chen
- Chaoping Xing
Papers from Valerio Pastro's perspective
Ordered by how strongly the researchers Valerio Pastro trusts endorse each paper. Same corpus, a different order for every researcher.
- Fairplay - Secure Two-Party Computation System
- Secure Two-Party Computation is Practical
- Predicting Lattice Reduction (International Conference on the Theory and Application of Cryptographic Techniques)
- Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
- Security Against Covert Adversaries: Efficient Protocols for Realistic Adversaries
- (Leveled) Fully Homomorphic Encryption without Bootstrapping
- Implementing Two-Party Computation Efficiently with Security Against Malicious Adversaries
- A New Approach to Practical Active-Secure Two-Party Computation
- Sharemind: A Framework for Fast Privacy-Preserving Computations
- SecureML: A System for Scalable Privacy-Preserving Machine Learning
Their papers
- Multiparty Computation from Somewhat Homomorphic Encryption (2012) — 1,492 citations
- Practical Covertly Secure MPC for Dishonest Majority - Or: Breaking the SPDZ Limits (2013) — 552 citations
- Secure Computation for Machine Learning With SPDZ (2019) — 66 citations
- Overdrive: Making SPDZ Great Again (2018) — 355 citations