Fabio Pierazzi

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 Fabio Pierazzi trusts overall

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

1. Nicholas Carlini
2. Battista Biggio
3. Radford M. Neal
4. Davide Maiorca
5. Nicolas Papernot
6. David A. Wagner
7. Pavel Laskov
8. Daniel Arp
9. Geoffrey E. Hinton
10. Ian J. Goodfellow

Papers from Fabio Pierazzi's perspective

Ordered by how strongly the researchers Fabio Pierazzi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Intriguing properties of neural networks
10. 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