Davide Maiorca

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 13 papers; trusts 94 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 163 citations into it; #7,995 of 35,345 by trust here, #2,989 by citations
• Safety, Robustness & Interpretability — 158 citations into it; #686 of 2,251 by trust here, #250 by citations
• Signal Processing — 140 citations into it; #622 of 7,572 by trust here, #184 by citations
• Computer Networks and Communications — 124 citations into it; #2,670 of 9,886 by trust here, #1,955 by citations
• Information Systems — 79 citations into it; #935 of 8,771 by trust here, #2,101 by citations
• Privacy & Security — 55 citations into it; #151 of 709 by trust here, #206 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Statistical Learning Theory — 14 citations into it

Whom Davide Maiorca trusts overall

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

1. Battista Biggio
2. Nedim Srndic
3. Pavel Laskov
4. Charles Smutz
5. Blaine Nelson
6. Fabio Roli
7. Marco Barreno
8. Ambra Demontis
9. Marco Cova
10. Igino Corona

Who trusts Davide Maiorca overall

1. Battista Biggio
2. Giorgio Giacinto
3. Igino Corona
4. Fabio Roli
5. Ambra Demontis
6. Huang Xiao
7. Nicholas Carlini
8. Nicolas Papernot
9. Meng Xu
10. Fabio Pierazzi

Papers from Davide Maiorca's perspective

Ordered by how strongly the researchers Davide Maiorca 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Intriguing properties of neural networks
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
• 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
• Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware (2017) — 41 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
• Stealth attacks: An extended insight into the obfuscation effects on Android malware (2015) — 182 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
• A Pattern Recognition System for Malicious PDF Files Detection (2012) — 129 citations