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Feargus Pendlebury
Feargus Pendlebury
Meta | University College London
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Year
TESSERACT: Eliminating experimental bias in malware classification across space and time
F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro
28th USENIX Security Symposium (USENIX Security 19), 729-746, 2019
2162019
Intriguing Properties of Adversarial ML Attacks in the Problem Space
F Pierazzi, F Pendlebury, J Cortellazzi, L Cavallaro
2020 IEEE Symposium on Security and Privacy (SP), 1332-1349, 2020
1142020
Dos and don’ts of machine learning in computer security
D Arp, E Quiring, F Pendlebury, A Warnecke, F Pierazzi, C Wressnegger, ...
Proc. of the USENIX Security Symposium, 2022
442022
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift
F Barbero, F Pendlebury, F Pierazzi, L Cavallaro
2022 IEEE Symposium on Security and Privacy (SP), 2022, 2020
15*2020
Insomnia: Towards concept-drift robustness in network intrusion detection
G Andresini, F Pendlebury, F Pierazzi, C Loglisci, A Appice, L Cavallaro
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021
102021
Realizable Universal Adversarial Perturbations for Malware
R Labaca-Castro, L Muñoz-González, F Pendlebury, GD Rodosek, ...
arXiv e-prints, arXiv: 2102.06747, 2021
10*2021
Enabling Fair ML Evaluations for Security
F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
9*2018
Investigating labelless drift adaptation for malware detection
Z Kan, F Pendlebury, F Pierazzi, L Cavallaro
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021
22021
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
L Yang, Z Chen, J Cortellazzi, F Pendlebury, K Tu, F Pierazzi, L Cavallaro, ...
arXiv preprint arXiv:2202.05470, 2022
2022
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