Hossein Fereidooni

Artificial Intelligence · 2018–2022

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

Subfields

• Artificial Intelligence — 72 citations into it

Whom Hossein Fereidooni trusts overall

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

1. Alex Krizhevsky
2. H. Brendan McMahan

Papers from Hossein Fereidooni's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• FLAME: Taming Backdoors in Federated Learning (2022) — 494 citations
• DÏoT: A Federated Self-learning Anomaly Detection System for IoT (2018) — 625 citations
• Peek-a-boo: i see your smart home activities, even encrypted! (2018) — 318 citations