Saeed Sharifi-Malvajerdi

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Privacy & Security — 24 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• AI Ethics, Fairness & Society — 13 citations into it
• Management Science and Operations Research — 10 citations into it
• Statistics and Probability — 7 citations into it

Whom Saeed Sharifi-Malvajerdi trusts overall

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

1. Cynthia Dwork
2. Aaron Roth
3. Frank McSherry
4. Kobbi Nissim
5. Moritz Hardt
6. Michael P. Kim
7. Antonio A. Ginart
8. Shai Shalev-Shwartz
9. Michael Kearns
10. Adam D. Smith

Papers from Saeed Sharifi-Malvajerdi's perspective

Ordered by how strongly the researchers Saeed Sharifi-Malvajerdi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Calibrating Noise to Sensitivity in Private Data Analysis
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Fairness through awareness
7. Equality of Opportunity in Supervised Learning
8. Membership Inference Attacks Against Machine Learning Models
9. ImageNet: A large-scale hierarchical image database
10. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

Their papers

• Adaptive Machine Unlearning (2021) — 244 citations
• Differentially Private Fair Learning (2018) — 174 citations
• Descent-to-Delete: Gradient-Based Methods for Machine Unlearning (2020) — 412 citations
• Average Individual Fairness: Algorithms, Generalization and Experiments (2019) — 98 citations