Publications

2024

1. ACSAC Competition

   Impact of "TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time"

   Shae McFadden, Zeliang Kan, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, and 3 more authors

   2024

   Bib PDF

   @misc{McFadden2024tesseract,
     title = {Impact of "{TESSERACT}: Eliminating Experimental Bias in Malware Classification across Space and Time"},
     author = {McFadden, Shae and Kan, Zeliang and Arp, Daniel and Pendlebury, Feargus and Jordaney, Roberto and Kinder, Johannes and Pierazzi, Fabio and Cavallaro, Lorenzo},
     booktitle = {ACSAC Cybersecurity Artifact Competition},
     year = {2024},
   }

2. 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

   Bib PDF Code

   @inproceedings{mcfadden2024recovery,
     title = {The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers},
     author = {McFadden, Shae and Kan, Zeliang and Cavallaro, Lorenzo and Pierazzi, Fabio},
     booktitle = {Proc. of the Annual Computer Security Applications Conference Workshops ({ACSAC Workshops})},
     year = {2024},
   }

3. 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

   Bib PDF Code

   @inproceedings{mcfadden2024wendigo,
     title = {Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL},
     author = {McFadden, Shae and Maugeri, Marcello and Hicks, Chris and Mavroudis, Vasilis and Pierazzi, Fabio},
     booktitle = {Proc. of the {IEEE} Workshop on Deep Learning Security and Privacy ({DLSP})},
     year = {2024},
   }

4. 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

   Bib PDF

   @misc{kan2024tesseract,
     title = {TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)},
     author = {Kan, Zeliang and McFadden, Shae and Arp, Daniel and Pendlebury, Feargus and Jordaney, Roberto and Kinder, Johannes and Pierazzi, Fabio and Cavallaro, Lorenzo},
     year = {2024},
     eprint = {2402.01359},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
   }

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

   Bib PDF Poster

   @inproceedings{mcfadden2023rpal,
     title = {Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning},
     author = {McFadden, Shae and Kan, Zeliang and Cavallaro, Lorenzo and Pierazzi, Fabio},
     booktitle = {Proc. of {ACM} Conference on Computer and Communications Security ({CCS})},
     year = {2023},
   }