Adrian Taylor

International Conference on Data Science and Advanced Analytics · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Adrian Taylor trusts overall

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

1. Michael Müter
2. Kyong-Tak Cho
3. Lovekesh Vig
4. Naim Asaj
5. Kang G. Shin
6. Hyun Min Song
7. Gautam M. Shroff

Who trusts Adrian Taylor overall

1. Benjamin Lindemann
2. Kyle Hundman
3. Benjamin Maschler
4. Valentino Constantinou
5. Izhak Golan

Papers from Adrian Taylor's perspective

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

1. Entropy-based anomaly detection for in-vehicle networks (2011 IEEE Intelligent Vehicles Symposium (IV))
2. Long Short Term Memory Networks for Anomaly Detection in Time Series (The European Symposium on Artificial Neural Networks)
3. LSTM Neural Networks for Language Modeling
4. Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network (International Conference on Information Networking)
5. Fingerprinting Electronic Control Units for Vehicle Intrusion Detection (USENIX Security Symposium)
6. LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection (arXiv.org)
7. Long Short-Term Memory
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures (Reliability Engineering & System Safety)

Their papers

• Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks (2016) — 323 citations