Farkhund Iqbal

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Sociology and Political Science — 8 citations into it

Whom Farkhund Iqbal trusts overall

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

1. Cynthia Dwork
2. Latanya Sweeney

Papers from Farkhund Iqbal's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. Torch7: A Matlab-like Environment for Machine Learning
3. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
4. ImageNet classification with deep convolutional neural networks
5. Differential Privacy
6. k-Anonymity: A Model for Protecting Privacy
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression
9. Learning to detect malicious executables in the wild (Knowledge Discovery and Data Mining)
10. Learning and Classification of Malware Behavior

Their papers

• Security and privacy challenges in smart cities (2018) — 307 citations
• Malware Classification with Deep Convolutional Neural Networks (2018) — 354 citations