Davide Ariu

Signal Processing · 2009–2017

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 67 citations into it; #2,536 of 7,572 by trust here, #1,351 by citations
• Computer Networks and Communications — 54 citations into it; #2,952 of 9,886 by trust here, #1,593 by citations
• Artificial Intelligence — 53 citations into it; #16,115 of 35,345 by trust here, #14,181 by citations
• Information Systems — 50 citations into it; #8,224 of 8,771 by trust here, #4,341 by citations
• Safety, Robustness & Interpretability — 24 citations into it; #2,109 of 2,251 by trust here, #1,780 by citations
• Privacy & Security — 15 citations into it; #505 of 709 by trust here, #462 by citations
• Software — 8 citations into it

Whom Davide Ariu trusts overall

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

1. Roberto Perdisci
2. Ke Wang
3. Vladimir Naumovich Vapnik
4. Thorsten Joachims
5. Wenke Lee
6. Battista Biggio
7. John McHugh
8. Fabrizio Sebastiani
9. James Newsome
10. Tian Zhang

Who trusts Davide Ariu overall

1. Battista Biggio
2. Nicholas Carlini
3. Joseph Gardiner
4. Fabio Roli
5. Monowar Hussain Bhuyan
6. Nicolas Papernot
7. Nico Görnitz

Papers from Davide Ariu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Histograms of oriented gradients for human detection
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Anomalous Payload-Based Network Intrusion Detection
6. Support-Vector Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Polygraph: automatically generating signatures for polymorphic worms
9. Long Short-Term Memory
10. Object Detection with Discriminatively Trained Part Based Models

Their papers

• Is data clustering in adversarial settings secure? (2013) — 135 citations
• DeltaPhish: Detecting Phishing Webpages in Compromised Websites (2017) — 87 citations
• Stealth attacks: An extended insight into the obfuscation effects on Android malware (2015) — 182 citations
• Poisoning behavioral malware clustering (2014) — 157 citations
• Scalable fine-grained behavioral clustering of HTTP-based malware (2013) — 71 citations
• McPAD: A multiple classifier system for accurate payload-based anomaly detection (2009) — 293 citations