Shae McFadden

According to our database, Shae McFadden authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, April, 2025

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

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

WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL.

Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi

Proceedings of the IEEE Security and Privacy, 2024

The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers.

Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning.

Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023