Igino Corona

Computer Networks and Communications · 2011–2017

A researcher in the Science corpus: 12 papers; trusts 58 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 123 citations into it; #1,578 of 9,886 by trust here, #828 by citations
• Artificial Intelligence — 117 citations into it; #7,966 of 35,345 by trust here, #2,929 by citations
• Signal Processing — 114 citations into it; #565 of 7,572 by trust here, #167 by citations
• Safety, Robustness & Interpretability — 98 citations into it; #517 of 2,251 by trust here, #213 by citations
• Information Systems — 86 citations into it; #819 of 8,771 by trust here, #1,362 by citations
• Privacy & Security — 53 citations into it; #134 of 709 by trust here, #175 by citations
• Optimization & Training — 15 citations into it
• Statistical Learning Theory — 13 citations into it

Whom Igino Corona trusts overall

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

1. Battista Biggio
2. Blaine Nelson
3. Pavel Laskov
4. Davide Maiorca
5. Roberto Perdisci
6. Marco Barreno
7. Marius Kloft
8. Benjamin I. P. Rubinstein
9. Leo Breiman
10. Giorgio Fumera

Who trusts Igino Corona overall

1. Battista Biggio
2. Davide Maiorca
3. Joseph Gardiner
4. Nicholas Carlini
5. Nicolas Papernot
6. Fabio Roli
7. Ambra Demontis
8. Giorgio Giacinto
9. Shishir Nagaraja
10. Huang Xiao

Papers from Igino Corona's perspective

Ordered by how strongly the researchers Igino Corona 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Evasion Attacks against Machine Learning at Test Time (2013) — 2,338 citations
• Security Evaluation of Support Vector Machines in Adversarial Environments (2014) — 128 citations
• DeltaPhish: Detecting Phishing Webpages in Compromised Websites (2017) — 87 citations
• Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection (2017) — 307 citations
• Stealth attacks: An extended insight into the obfuscation effects on Android malware (2015) — 182 citations
• One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time (2015) — 51 citations
• Poisoning behavioral malware clustering (2014) — 157 citations
• Looking at the bag is not enough to find the bomb: an evasion of structural methods for malicious PDF files detection (2013) — 152 citations
• Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues (2013) — 232 citations
• Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis (2012) — 126 citations
• A Pattern Recognition System for Malicious PDF Files Detection (2012) — 129 citations
• Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks (2011) — 136 citations