Shae McFadden

According to our database, Shae McFadden authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Building Better Environments for Autonomous Cyber Defence.

Chris Hicks, Elizabeth Bates, Shae McFadden, Isaac Symes Thompson, Myles Foley, Ed Chapman, Nickolas Espinosa Dice, Ankita Samaddar, Joshua Sylvester, Himanshu Neema, Nicholas Butts, Nate Foster, Ahmad Ridley, Zoe M, Paul Jones

CoRR, April, 2026

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity.

Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, Fabio Pierazzi

CoRR, February, 2026

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image.

Ezzeldin Shereen, Dan Ristea, Shae McFadden, Burak Hasircioglu, Vasilios Mavroudis, Chris Hicks

Trans. Mach. Learn. Res., 2026

DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift.

Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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