Sebastian Szyller
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it; #19,424 of 35,345 by trust here, #15,004 by citations
- Safety, Robustness & Interpretability — 55 citations into it; #1,281 of 2,251 by trust here, #1,481 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Signal Processing — 20 citations into it
- Optimization & Training — 6 citations into it
Whom Sebastian Szyller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Ian J. Goodfellow
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Nicolas Papernot
- Christian Szegedy
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Sebastian Szyller overall
- Adam Dziedzic
- Mingfu Xue
- Tribhuvanesh Orekondy
- Bernt Schiele
- Eric Wallace
- Maria Rigaki
- Can He
- David Stutz
- Muhammad Ahmad Kaleem
- Steven Chen
Papers from Sebastian Szyller's perspective
Ordered by how strongly the researchers Sebastian Szyller trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- PRADA: Protecting Against DNN Model Stealing Attacks (2018) — 529 citations
- DAWN: Dynamic Adversarial Watermarking of Neural Networks (2019) — 241 citations
- LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked (2023) — 324 citations