@misc{shereen2024OnePic,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},year={2025},eprint={2504.02132},archiveprefix={arXiv},primaryclass={cs.SE},}
2024
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},}
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
@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},}
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
@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},}
arXiv
SoK: On Closing the Applicability Gap in Automated Vulnerability Detection
Ezzeldin Shereen, Dan Ristea, Sanyam Vyas, Shae McFadden, Madeleine Dwyer, and 2 more authors
@misc{shereen2024SoK,title={SoK: On Closing the Applicability Gap in Automated Vulnerability Detection},author={Shereen, Ezzeldin and Ristea, Dan and Vyas, Sanyam and McFadden, Shae and Dwyer, Madeleine and Hicks, Chris and Mavroudis, Vasilios},year={2024},eprint={2412.11194},archiveprefix={arXiv},primaryclass={cs.SE},}
2023
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
@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},}