Personal profile
Personal profile
Feargus graduated from Royal Holloway in 2016 with a First Class Honours Degree in Computer Science with a specialism in Information Security. Throughout his university degree he also worked for a leading financial data automation firm, first as a Software Engineer and later as their Software Security Group Lead.
In September 2016, Feargus joined the Centre for Doctoral Training in Cyber Security where he started work with the Systems Security Research Lab. His current research interests involve combining machine learning techniques with program analysis to tackle issues in mobile security, particularly those afflicting the Android operating system.
Collaborations and top research areas from the last five years
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Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
Barbero, F., Pendlebury, F., Pierazzi, F. & Cavallaro, L., 2022, IEEE Symposium on Security and Privacy (IEEE S&P). p. 1165-1183Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile105 Downloads (Pure) -
Dos and Don'ts of Machine Learning in Computer Security
Arp, D., Quiring, E., Pendlebury, F., Warnecke, A., Pierazzi, F., Wressnegger, C., Cavallaro, L. & Rieck, K., 12 Aug 2021, 31st USENIX Security Symposium (USENIX Sec). 20 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection
Andresini, G., Pendlebury, F., Pierazzi, F., Loglisci, C., Appice, A. & Cavallaro, L., 15 Nov 2021, AISec '21: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security. ACM, p. 111-122 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile211 Downloads (Pure) -
Investigating Labelless Drift Adaptation for Malware Detection
Kan, Z., Pendlebury, F., Pierazzi, F. & Cavallaro, L., 15 Nov 2021, AISec '21: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security. ACM, p. 123-134 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile106 Downloads (Pure) -
Machine Learning for Security in Hostile Environments
Pendlebury, F., 2021, (Unpublished) 214 p.Research output: Thesis › Doctoral Thesis
File573 Downloads (Pure)