Muhammad Ahmad Kaleem

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Privacy & Security — 11 citations into it
• Signal Processing — 9 citations into it

Whom Muhammad Ahmad Kaleem trusts overall

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

1. Nicolas Papernot
2. Cynthia Dwork
3. Geoffrey E. Hinton
4. Tribhuvanesh Orekondy
5. Alex Krizhevsky
6. Ian J. Goodfellow
7. Kaiming He
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Muhammad Ahmad Kaleem overall

1. Adam Dziedzic

Papers from Muhammad Ahmad Kaleem's perspective

Ordered by how strongly the researchers Muhammad Ahmad Kaleem 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On the Difficulty of Defending Self-Supervised Learning against Model Extraction (2022) — 36 citations
• Increasing the Cost of Model Extraction with Calibrated Proof of Work (2022) — 39 citations