Mohammad Mahmoody

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 52 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it; #27,032 of 35,345 by trust here, #21,878 by citations
• Safety, Robustness & Interpretability — 72 citations into it; #2,104 of 2,251 by trust here, #1,880 by citations
• Computer Networks and Communications — 26 citations into it
• Privacy & Security — 18 citations into it
• Signal Processing — 16 citations into it
• Statistics and Probability — 16 citations into it
• Statistical Learning Theory — 11 citations into it; #1,019 of 1,038 by trust here, #770 by citations
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Mohammad Mahmoody trusts overall

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

1. Leslie G. Valiant
2. Saeed Mahloujifar
3. Blaine Nelson
4. Nicolas Papernot
5. Ilias Diakonikolas
6. Cynthia Dwork
7. Michael Kearns
8. Marco Barreno
9. Battista Biggio
10. Ian J. Goodfellow

Who trusts Mohammad Mahmoody overall

1. Saeed Mahloujifar
2. Dimitrios I. Diochnos
3. Dimitris Tsipras

Papers from Mohammad Mahmoody's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Intriguing properties of neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Explaining and Harnessing Adversarial Examples

Their papers

• The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure (2018) — 161 citations
• Multi-party Poisoning through Generalized p-Tampering (2018) — 13 citations
• Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution (2018) — 77 citations
• Learning under p-Tampering Attacks (2018) — 27 citations
• Blockwise p-Tampering Attacks on Cryptographic Primitives, Extractors, and Learners (2017) — 29 citations