On the Impact of Sample Duplication in Machine Learning based Android Malware Detection (ESEC/FSE 2022 - Journal First)

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Mon 14 - Fri 18 November 2022 Singapore

Who

Yanjie Zhao, Li Li, Haoyu Wang, Haipeng Cai, Tegawendé F. Bissyandé, Jacques Klein, John Grundy

Track

ESEC/FSE 2022 Journal First

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When

Wed 16 Nov 2022 14:00 - 14:15 at SRC GLR - JF Machine Learning Chair(s): Sandeep Kuttal

Link to Publication

https://dl.acm.org/doi/10.1145/3446905

Link to Preprint

https://lilicoding.github.io/papers/zhao2021impact.pdf

DOI

https://doi.org/10.1145/3446905

Yanjie Zhao

Monash University

Li Li

Monash University

Australia

Haoyu Wang

Huazhong University of Science and Technology

China

Haipeng Cai

Washington State University

United States

Tegawendé F. Bissyandé

SnT, University of Luxembourg

Jacques Klein

University of Luxembourg

John Grundy

Monash University

Australia

[FSE 2022] On the Impact of Sample Duplication in Machine Learning based Android Malware Detection

Time Zone

The program is currently displayed in (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi.

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Session Program

Wed 16 Nov
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14:00 - 15:30	JF Machine LearningJournal First at SRC GLR Chair(s): Sandeep Kuttal University of Tulsa

14:00 15m Talk		On the Impact of Sample Duplication in Machine Learning based Android Malware Detection Journal First Yanjie Zhao Monash University, Li Li Monash University, Haoyu Wang Huazhong University of Science and Technology, Haipeng Cai Washington State University, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg, John Grundy Monash University Link to publication DOI Pre-print Media Attached
14:15 15m Talk		A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms Journal First Hichem Belgacem University of Luxembourg, Xiaochen Li Dalian University of Technology, Domenico Bianculli University of Luxembourg, Lionel Briand University of Luxembourg; University of Ottawa
14:30 15m Talk		Story points changes in agile iterative development: An empirical study and a prediction approach Journal First Jirat Pasuksmit University of Melbourne, Patanamon Thongtanunam University of Melbourne, Shanika Karunasekera The University of Melbourne Link to publication DOI
14:45 15m Talk		Towards a consistent interpretation of AIOps models Journal First Yingzhe Lyu Software Analysis and Intelligence Lab (SAIL), Queen's University, Canada, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Dayi Lin Centre for Software Excellence, Huawei, Canada, Boyuan Chen Centre for Software Excellence, Huawei Canada, Zhen Ming (Jack) Jiang York University
15:00 15m Talk		Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks Journal First Zishuo Ding Concordia University, Heng Li Polytechnique Montréal, Weiyi Shang Concordia University, Tse-Hsun (Peter) Chen Concordia University