Publications

2024

  1. ARTMAN
    The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers
    Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi
    In Proc. of the Annual Computer Security Applications Conference Workshops (ACSAC Workshops) , 2024
  2. DLSP
    Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
    Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilis Mavroudis, and Fabio Pierazzi
    In Proc. of the IEEE Workshop on Deep Learning Security and Privacy (DLSP) , 2024
  3. arXiv
    TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
    Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, and 3 more authors
    2024

2023

  1. CCS Poster
    Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning
    Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi
    In Proc. of ACM Conference on Computer and Communications Security (CCS) , 2023