Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. - Shae McFadden; Zeliang Kan; Lorenzo Cavallaro; Fabio Pierazzi (CCS, 2023)

The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers. - Shae McFadden; Zeliang Kan; Lorenzo Cavallaro; Fabio Pierazzi (ACSAC Workshops, 2024)

WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. - Shae McFadden; Marcello Maugeri; Chris Hicks; Vasilios Mavroudis; Fabio Pierazzi (SP (Workshops), 2024)

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). - Zeliang Kan; Shae McFadden; Daniel Arp; Feargus Pendlebury; Roberto Jordaney; Johannes Kinder; Fabio Pierazzi; Lorenzo Cavallaro (CoRR, 2024)

SoK: On Closing the Applicability Gap in Automated Vulnerability Detection. - Ezzeldin Shereen; Dan Ristea; Sanyam Vyas; Shae McFadden; Madeleine Dwyer; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image. - Ezzeldin Shereen; Dan Ristea; Burak Hasircioglu; Shae McFadden; Vasilios Mavroudis; Chris Hicks (CoRR, 2025)