Eunbi Seo

Conference on Privacy, Security and Trust · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Eunbi Seo trusts overall

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

  1. Individualized Treat
  2. Hyun Min Song
  3. Dan Li
  4. Houssam Zenati
  5. Jinsung Yoon
  6. Ha Rang Kim
  7. Dacheng Chen
  8. Chuan-Sheng Foo
  9. Huy Kang Kim

Who trusts Eunbi Seo overall

  1. Li Yang
  2. Abdallah Moubayed

Papers from Eunbi Seo's perspective

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

  1. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
  2. GENERATIVE ADVERSARIAL NETS
  3. Comprehensive Experimental Analyses of Automotive Attack Surfaces (USENIX Security Symposium)
  4. Efficient GAN-Based Anomaly Detection (arXiv.org)
  5. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (arXiv.org)
  6. Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network (International Conference on Information Networking)
  7. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (International Conference on Learning Representations)
  8. Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures (Reliability Engineering & System Safety)
  9. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  10. Adversarial Feature Learning

Their papers