Udi Weinsberg
Artificial Intelligence · 2012–2015
A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it; #12,762 of 35,345 by trust here, #7,797 by citations
- Privacy & Security — 37 citations into it; #384 of 709 by trust here, #194 by citations
- Computational Theory and Mathematics — 29 citations into it; #6,662 of 12,182 by trust here, #1,463 by citations
- Information Systems — 27 citations into it; #4,882 of 8,771 by trust here, #6,501 by citations
- Computer Networks and Communications — 15 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistics and Probability — 9 citations into it
- Signal Processing — 5 citations into it
Whom Udi Weinsberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benny Pinkas
- Yehuda Lindell
- Yehuda Koren
- Yan Huang
- Vladimir Kolesnikov
- Andrew McCallum
- Thomas Schneider
- David Ruppert
- Pascal Paillier
- Oded Regev
Who trusts Udi Weinsberg overall
- Neil Zhenqiang Gong
- Jinyuan Jia
- Adrià Gascón
- Payman Mohassel
- David E. Evans
- Phillipp Schoppmann
- Xin Fang
- Stratis Ioannidis
- Bin Liu
- Amrita Roy Chowdhury
Papers from Udi Weinsberg's perspective
Ordered by how strongly the researchers Udi Weinsberg trusts endorse each paper. Same corpus, a different order for every researcher.
- Fair exchange with a semi-trusted third party (extended abstract)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Protocols for secure computations
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- Long Short-Term Memory
- Fully homomorphic encryption using ideal lattices
- Gradient-based learning applied to document recognition
Their papers
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records (2013) — 490 citations
- GraphSC: Parallel Secure Computation Made Easy (2015) — 193 citations
- Privacy-preserving matrix factorization (2013) — 305 citations
- BlurMe: inferring and obfuscating user gender based on ratings (2012) — 194 citations