Riccardo Spolaor

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #20,360 of 35,345 by trust here, #25,809 by citations
• Computer Networks and Communications — 14 citations into it
• Signal Processing — 11 citations into it; #4,193 of 7,572 by trust here, #5,086 by citations
• Information Systems — 7 citations into it

Whom Riccardo Spolaor trusts overall

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

1. Wes McKinney
2. Jean-François Raymond
3. Andriy Panchenko
4. Brian Neil Levine
5. Dominik Herrmann
6. Aravind Kumar Machiry
7. Trevor J. Hastie
8. Lukas Niessen
9. Vincent F. Taylor

Who trusts Riccardo Spolaor overall

1. Giuseppe Aceto
2. Chang Liu
3. Thijs Van Ede
4. Gang Xiong
5. Domenico Ciuonzo
6. Vincent F. Taylor
7. Meng Shen
8. Longtao He

Papers from Riccardo Spolaor's perspective

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

1. Fingerprinting Websites Using Traffic Analysis (International Symposium on Privacy Enhancing Technologies)
2. Inferring the source of encrypted HTTP connections (Conference on Computer and Communications Security)
3. Website fingerprinting: attacking popular privacy enhancing technologies with the multinomial naïve-bayes classifier
4. Website fingerprinting in onion routing based anonymization networks
5. Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Fail (IEEE Symposium on Security and Privacy)
6. Touching from a distance: website fingerprinting attacks and defenses
7. Scikit-learn: Machine Learning in Python
8. Traffic Analysis: Protocols, Attacks, Design Issues, and Open Problems
9. Random Forests
10. Independent consultant

Their papers

• Robust Smartphone App Identification via Encrypted Network Traffic Analysis (2017) — 356 citations
• AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic (2016) — 335 citations