Edoardo Debenedetti

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 114 citations into it
• Safety, Robustness & Interpretability — 73 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Molecular Biology — 17 citations into it
• Electrical and Electronic Engineering — 10 citations into it

Whom Edoardo Debenedetti trusts overall

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

1. Alex Krizhevsky
2. Francesco Croce
3. Dan Hendrycks
4. Geoffrey E. Hinton
5. Nicholas Carlini
6. Kaiming He
7. Diederik P. Kingma
8. Yoshua Bengio
9. Maksym Andriushchenko
10. Yann LeCun

Papers from Edoardo Debenedetti's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Et al

Their papers

• RobustBench: a standardized adversarial robustness benchmark (2020) — 928 citations
• JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models (2024) — 556 citations