Sahar Abdelnabi

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #19,193 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 36 citations into it
• Generative Models — 21 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Sahar Abdelnabi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Chih-Jen Lin
5. Kaiming He
6. Yoshua Bengio
7. Alec Radford
8. Yann LeCun
9. Ilya Sutskever
10. Shumeet Baluja

Who trusts Sahar Abdelnabi overall

1. Q. Liao

Papers from Sahar Abdelnabi's perspective

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

Their papers

• Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data (2020) — 322 citations
• Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection (2023) — 1,594 citations