Si-Ahmed Naas

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Privacy & Security — 16 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Si-Ahmed Naas trusts overall

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

1. Cynthia Dwork
2. Andrew L. Maas
3. Keith B. Frikken
4. Ivan Bjerre Damgård
5. Frank McSherry
6. Adriana López-Alt
7. Akinori Kawachi
8. Dong Yin
9. Jakub Konecný
10. Le Trieu Phong

Papers from Si-Ahmed Naas's perspective

Ordered by how strongly the researchers Si-Ahmed Naas 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Learning with Differential Privacy
5. Calibrating Noise to Sensitivity in Private Data Analysis
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Differential Privacy

Their papers

• Privacy‐preserving federated learning based on multi‐key homomorphic encryption (2021) — 388 citations