Fabrice Benhamouda

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Privacy & Security — 19 citations into it

Whom Fabrice Benhamouda trusts overall

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

1. Payman Mohassel
2. M. Sadegh Riazi
3. Yann LeCun

Papers from Fabrice Benhamouda's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Backpropagation Applied to Handwritten Zip Code Recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. SecureML: A System for Scalable Privacy-Preserving Machine Learning
9. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
10. How to play ANY mental game

Their papers

• Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning (2020) — 389 citations