Proj. Drift

Investigating Labelless Drift Adaptation for Malware Detection.

News

Sept. 2021: Our paper "Investigating Labelless Drift Adaptation for Malware Detection" has been accepted at AISec, 2021.

Access

We are hosting the DroidEvolver++ patch on a private Bitbucket repository, under an open source license. To get access to the repository, please complete the following form:

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Papers

Investigating Labelless Drift Adaptation for Malware Detection
Zeliang Kan and Feargus Pendlebury and Fabio Pierazzi and Lorenzo Cavallaro
AISec · 14th ACM Workshop on Artificial Intelligence and Security, 2021

@inproceedings{kan2021adaptation,

  author    = {Zeliang Kan and Feargus Pendlebury and Fabio Pierazzi and Lorenzo Cavallaro},

  title     = {Investigating Labelless Drift Adaptation for Malware Detection},

  booktitle = {{ACM} Workshop on Artificial Intelligence and Security ({AISec})},

  year      = {2021},

}

People

Zeliang Kan, Ph.D. Student, King's College London & University College London.
Feargus Pendlebury, Ph.D. Student, University College London & Royal Holloway, University of London & International Computer Science Institute.
Fabio Pierazzi, Lecturer (Assistant Professor), King's College London.
Lorenzo Cavallaro, Full Professor of Computer Science, University College London.