Giorgio Giacinto

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 22 papers; trusts 128 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 236 citations into it; #5,454 of 35,345 by trust here, #2,465 by citations
Signal Processing — 209 citations into it; #487 of 7,572 by trust here, #146 by citations
Computer Networks and Communications — 207 citations into it; #1,241 of 9,886 by trust here, #635 by citations
Safety, Robustness & Interpretability — 195 citations into it; #541 of 2,251 by trust here, #213 by citations
Information Systems — 119 citations into it; #582 of 8,771 by trust here, #980 by citations
Privacy & Security — 78 citations into it; #137 of 709 by trust here, #174 by citations
Software — 32 citations into it
Computer Vision and Pattern Recognition — 25 citations into it

Whom Giorgio Giacinto trusts overall

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

Who trusts Giorgio Giacinto overall

Papers from Giorgio Giacinto's perspective

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

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Gradient-based learning applied to document recognition
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Attention is All you Need (Neural Information Processing Systems)
Learning Multiple Layers of Features from Tiny Images
Intriguing properties of neural networks
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
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables (2018) — 354 citations
Security Evaluation of Support Vector Machines in Adversarial Environments (2014) — 128 citations
Explaining Black-box Android Malware Detection (2018) — 49 citations
Towards Adversarial Malware Detection (2018) — 56 citations
On the effectiveness of system API-related information for Android ransomware detection (2018) — 84 citations
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection (2017) — 307 citations
Adversarial Detection of Flash Malware: Limitations and Open Issues (2017) — 27 citations
Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation (2016) — 22 citations
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification (2015) — 376 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
Scalable fine-grained behavioral clustering of HTTP-based malware (2013) — 71 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
McPAD: A multiple classifier system for accurate payload-based anomaly detection (2009) — 293 citations