Computer Science and Center for Research in Computer Vision

Monday, April 22, 2024

  • An Efficient One-Class SVM for Novelty Detection in IoT

    TC2: 222 and Virtual

    Speaker: Dr. Kun Yang From: Princeton University Abstract Novelty detection is important in the Internet of Things (“IoT”) due to the potential threats that IoT devices can present. One-Class Support Vector Machines (OCSVMs) are one of the common approaches for novelty detection due to their ability to identify a wide range of nonlinear classification boundaries. Such flexibility is appropriate for …

    CS/CRCV Seminars