Paolo Russu

Safety, Robustness & Interpretability · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 53 citations into it; #968 of 2,251 by trust here, #1,616 by citations
• Artificial Intelligence — 45 citations into it; #14,558 of 35,345 by trust here, #19,018 by citations
• Signal Processing — 34 citations into it; #2,815 of 7,572 by trust here, #3,309 by citations
• Computer Networks and Communications — 24 citations into it; #6,102 of 9,886 by trust here, #6,217 by citations
• Information Systems — 19 citations into it

Whom Paolo Russu trusts overall

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

1. Battista Biggio
2. Gordon V. Cormack
3. Fabrizio Sebastiani
4. Blaine Nelson
5. Amir Globerson
6. Giorgio Fumera
7. Fabio Roli
8. J. Doug Tygar
9. Daniel Lowd
10. Yann LeCun

Who trusts Paolo Russu overall

1. Battista Biggio
2. Marco Melis
3. Ambra Demontis
4. Fabio Roli
5. Davide Maiorca
6. Liang Tong
7. Katja Auernhammer
8. A. Serban
9. Giorgio Giacinto
10. Arjun Nitin Bhagoji

Papers from Paolo Russu's perspective

Ordered by how strongly the researchers Paolo Russu 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. Support-Vector Networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Intriguing properties of neural networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On Security and Sparsity of Linear Classifiers for Adversarial Settings (2016) — 26 citations
• Secure Kernel Machines against Evasion Attacks (2016) — 80 citations
• Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective (2015) — 98 citations