@misc{mcfadden2026replicant,title={REPLICANT: Learning Policies for Evading and Hardening Malware Detectors},author={McFadden, Shae and Tsingenopoulos, Ilias and D'Onghia, Mario and Herzog, Alexander and Foley, Myles and Hicks, Chris and Cavallaro, Lorenzo and Pierazzi, Fabio},year={2026},eprint={2608.28499},archiveprefix={arXiv},primaryclass={cs.LG},}
USENIX Sec
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, and 3 more authors
In 35th USENIX Security Symposium (USENIX Security 26) , 2026
@inproceedings{McFadden2026Pitfalls,title={SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity},author={McFadden, Shae and Foley, Myles and Bates, Elizabeth and Tsingenopoulos, Ilias and Vyas, Sanyam and Mavroudis, Vasilios and Hicks, Chris and Pierazzi, Fabio},booktitle={35th USENIX Security Symposium (USENIX Security 26)},year={2026},}
TMLR
Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points
Dan Ristea, Shae McFadden, Ezzeldin Shereen, Madeleine Dwyer, Sanyam Vyas, and 2 more authors
@article{ristea2026direction,title={Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points},author={Ristea, Dan and McFadden, Shae and Shereen, Ezzeldin and Dwyer, Madeleine and Vyas, Sanyam and Hicks, Chris and Mavroudis, Vasilios},journal={Transactions on Machine Learning Research},year={2026},}
AAMAS Workshop
Building Better Environments for Autonomous Cyber Defence
Chris Hicks, Elizabeth Bates, Shae McFadden, Isaac Symes Thompson, Myles Foley, and 10 more authors
@misc{hicks2026building,title={Building Better Environments for Autonomous Cyber Defence},author={Hicks, Chris and Bates, Elizabeth and McFadden, Shae and Thompson, Isaac Symes and Foley, Myles and Chapman, Ed and Dice, Nickolas Espinosa and Samaddar, Ankita and Sylvester, Joshua and Neema, Himanshu and Butts, Nicholas and Foster, Nate and Ridley, Ahmad and M, Zoe and Jones, Paul},booktitle={Workshop on AI for Critical National Infrastructure (AI4CNI) at AAMAS},year={2026},}
AAAI
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
Shae McFadden, Myles Foley, Mario D’Onghia, Chris Hicks, Vasilios Mavroudis, and 2 more authors
In Proc. of the AAAI Conference on Artificial Intelligence , 2026
@inproceedings{McFadden2026DRMD,title={DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift},author={McFadden, Shae and Foley, Myles and D'Onghia, Mario and Hicks, Chris and Mavroudis, Vasilios and Paoletti, Nicola and Pierazzi, Fabio},booktitle={Proc. of the {AAAI} Conference on Artificial Intelligence},year={2026},}
TMLR
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, and 1 more author
@article{shereen2026OnePic,title={One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image},author={Shereen, Ezzeldin and Ristea, Dan and McFadden, Shae and Hasircioglu, Burak and Mavroudis, Vasilios and Hicks, Chris},journal={Transactions on Machine Learning Research},year={2026},}
2025
ACL Workshop
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image (Short Paper)
Ezzeldin Shereen, Dan Ristea, Burak Hasircioglu, Shae McFadden, Vasilios Mavroudis, and 1 more author
@misc{shereen2025OnePic,title={One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image (Short Paper)},author={Shereen, Ezzeldin and Ristea, Dan and Hasircioglu, Burak and McFadden, Shae and Mavroudis, Vasilios and Hicks, Chris},booktitle={2nd Workshop on Multimodal Augmented Generation via MultimodAl Retrieval},year={2025},}
2024
ACSAC Workshop
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
@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},}
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
@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},}
S&P Workshop
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
@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},}
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
@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
CCS
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
@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},}