Hyun Min Song

Computer Networks and Communications · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hyun Min Song trusts overall

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

  1. Michael Müter
  2. Naim Asaj
  3. Individualized Treat
  4. Dan Li
  5. Houssam Zenati
  6. Stephen Checkoway

Who trusts Hyun Min Song overall

  1. Li Yang
  2. Eunbi Seo
  3. Hyunsung Lee
  4. Huy Kang Kim
  5. Abdallah Moubayed
  6. S. Jeong
  7. Abdallah Shami
  8. Adrian Taylor

Papers from Hyun Min Song's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures (Reliability Engineering & System Safety)
  3. Security and Privacy Vulnerabilities of In-Car Wireless Networks: A Tire Pressure Monitoring System Case Study (USENIX Security Symposium)
  4. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
  5. Entropy-based anomaly detection for in-vehicle networks (2011 IEEE Intelligent Vehicles Symposium (IV))
  6. Comprehensive Experimental Analyses of Automotive Attack Surfaces (USENIX Security Symposium)
  7. Efficient GAN-Based Anomaly Detection (arXiv.org)
  8. Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network (International Conference on Information Networking)
  9. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (arXiv.org)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers