Feargus Pendlebury
Signal Processing · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 45 citations into it
- Artificial Intelligence — 44 citations into it
- Computer Networks and Communications — 27 citations into it
- Safety, Robustness & Interpretability — 27 citations into it
- Information Systems — 16 citations into it
- Privacy & Security — 13 citations into it
- Software — 13 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Feargus Pendlebury trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Nicholas Carlini
- Battista Biggio
- Pavel Laskov
- Davide Maiorca
- Konrad Rieck
- Daniel Arp
- Nicolas Papernot
- Geoffrey E. Hinton
- Gary M. Weiss
Who trusts Feargus Pendlebury overall
Papers from Feargus Pendlebury's perspective
Ordered by how strongly the researchers Feargus Pendlebury trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Intriguing properties of neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Intriguing Properties of Adversarial ML Attacks in the Problem Space (2019) — 358 citations
- TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (2018) — 474 citations