Lorenzo Cavallaro

Signal Processing · 2009–2019

A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Signal Processing — 110 citations into it; #7,257 of 7,572 by trust here, #1,709 by citations
• Artificial Intelligence — 72 citations into it; #33,815 of 35,345 by trust here, #15,542 by citations
• Computer Networks and Communications — 68 citations into it; #9,407 of 9,886 by trust here, #2,099 by citations
• Software — 47 citations into it
• Information Systems — 46 citations into it
• Safety, Robustness & Interpretability — 27 citations into it
• Privacy & Security — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Lorenzo Cavallaro trusts overall

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

1. Nicholas Carlini
2. William Enck
3. Battista Biggio
4. Radford M. Neal
5. Andreas Moser
6. Daniel Arp
7. Yajin Zhou
8. Tal Garfinkel
9. Davide Maiorca
10. David A. Wagner

Who trusts Lorenzo Cavallaro overall

1. Joseph Bonneau

Papers from Lorenzo Cavallaro's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Intriguing properties of neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Explaining and Harnessing Adversarial Examples
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Intriguing Properties of Adversarial ML Attacks in the Problem Space (2019) — 358 citations
• TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (2018) — 474 citations
• Transcend: Detecting Concept Drift in Malware Classification Models (2017) — 337 citations
• The Evolution of Android Malware and Android Analysis Techniques (2017) — 343 citations
• CopperDroid: Automatic Reconstruction of Android Malware Behaviors (2015) — 443 citations
• Your botnet is my botnet: analysis of a botnet takeover (2009) — 724 citations