Feargus Pendlebury

20 papers A* 6Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version].
ACM Trans. Priv. Secur.
Jacopo Cortellazzi, Erwin Quiring, Daniel Arp, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2024 J jnl
Pitfalls in Machine Learning for Computer Security.
Commun. ACM
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024 J jnl
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version).
CoRR
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
2023 J jnl
Are Machine Learning Models for Malware Detection Ready for Prime Time?
IEEE Secur. Priv.
Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
2023 — conf
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors.
SP (Workshops)
Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023 A* conf
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers.
SP
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023 J jnl
Lessons Learned on Machine Learning for Computer Security.
IEEE Secur. Priv.
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022 A* conf
Dos and Don'ts of Machine Learning in Computer Security.
USENIX Security Symposium
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022 J jnl
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers.
CoRR
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2022 A* conf
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift.
SP
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021 — conf
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.
AISec@CCS
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021 — conf
Investigating Labelless Drift Adaptation for Malware Detection.
AISec@CCS
Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021 J jnl
Universal Adversarial Perturbations for Malware.
CoRR
Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
2020 J jnl
Dos and Don'ts of Machine Learning in Computer Security.
CoRR
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2020 A* conf
Intriguing Properties of Adversarial ML Attacks in the Problem Space.
SP
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2020 J jnl
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation.
CoRR
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2019 J jnl
Intriguing Properties of Adversarial ML Attacks in the Problem Space.
CoRR
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2019 A* conf
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time.
USENIX Security Symposium
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018 A* conf
Enabling Fair ML Evaluations for Security.
CCS
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018 J jnl
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time.
CoRR
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro