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Feargus Pendlebury
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2020 – today
- 2022
- [i6]Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang:
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. CoRR abs/2202.05470 (2022) - 2021
- [c5]Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS 2021: 111-122 - [c4]Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
:
Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS 2021: 123-134 - [i5]Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro:
Universal Adversarial Perturbations for Malware. CoRR abs/2102.06747 (2021) - 2020
- [c3]Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. IEEE Symposium on Security and Privacy 2020: 1332-1349 - [i4]Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro:
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR abs/2010.03856 (2020) - [i3]Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Dos and Don'ts of Machine Learning in Computer Security. CoRR abs/2010.09470 (2020)
2010 – 2019
- 2019
- [c2]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium 2019: 729-746 - [i2]Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR abs/1911.02142 (2019) - 2018
- [c1]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
:
Enabling Fair ML Evaluations for Security. CCS 2018: 2264-2266 - [i1]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR abs/1807.07838 (2018)
Coauthor Index

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