Fatemehsadat Mirshghallah
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it
- Privacy & Security — 50 citations into it
- Safety, Robustness & Interpretability — 33 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Sociology and Political Science — 15 citations into it
- Signal Processing — 10 citations into it
- Electrical and Electronic Engineering — 8 citations into it
Whom Fatemehsadat Mirshghallah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Kamalika Chaudhuri
- Nhathai Phan
- Payman Mohassel
- Vishnu Naresh Boddeti
- Latanya Sweeney
- Vitaly Shmatikov
- H. Brendan McMahan
- Nicolas Papernot
- Reza Shokri
Who trusts Fatemehsadat Mirshghallah overall
Papers from Fatemehsadat Mirshghallah's perspective
Ordered by how strongly the researchers Fatemehsadat Mirshghallah trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Privacy in Deep Learning: A Survey (2020) — 153 citations