ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Wed 17 Apr 2024 14:15 - 14:30 at Luis de Freitas Branco - LLM, NN and other AI technologies 1 Chair(s): Shin Yoo

Recent years have witnessed the proliferation of learning-based Android malware detectors. These detectors can be categorized into three types, String-based, Image-based and Graph-based. Most of them have achieved good detection performance under the ideal setting. In reality, however, detectors often face out-of-distribution samples due to the factors such as code obfuscation, concept drift (e.g., software development technique evolution and new malware families emergence), and adversarial examples (AEs). This problem has attracted increasing attention, but there is a lack of comparative studies that evaluate the existing various types of detectors under these challenging environments. In order to fill this gap, we select $12$ representative detectors from three types of detectors, and evaluate them in the challenging scenarios involving code obfuscation, concept drift and AEs, respectively. Experimental results reveal that none of the evaluated detectors can maintain their ideal-setting detection performance, and the performance of different types of detectors varies significantly under various challenging environments. We identify several factors contributing to the performance deterioration of detectors, including the limitations of feature extraction methods and learning models. We also analyze the reasons why the detectors of different types show significant performance differences when facing code obfuscation, concept drift and AEs. Finally, we provide practical suggestions from the perspectives of users and researchers, respectively. We hope our work can help understand the detectors of different types, and provide guidance for enhancing their performance and robustness.

Wed 17 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
14:00
15m
Talk
EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal Learning
Research Track
Liuqing Chen Zhejiang University, Yunnong Chen Zhejiang University, Shuhong Xiao , Yaxuan Song Zhejiang University, Lingyun Sun Zhejiang University, Yankun Zhen Alibaba Group, Tingting Zhou Alibaba Group, Yanfang Chang Alibaba Group
Link to publication Pre-print File Attached
14:15
15m
Talk
A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
Research Track
Cuiying Gao Huazhong University of Science and Technology, Gaozhun Huang Huazhong University of Science and Technology, Heng Li Huazhong University of Science and Technology, Bang Wu Huazhong University of Science and Technology, Yueming Wu Nanyang Technological University, Wei Yuan Huazhong University of Science and Technology
14:30
15m
Talk
Toward Automatically Completing GitHub Workflows
Research Track
Antonio Mastropaolo Università della Svizzera italiana, Fiorella Zampetti University of Sannio, Italy, Gabriele Bavota Software Institute, USI Università della Svizzera italiana, Massimiliano Di Penta University of Sannio, Italy
Pre-print
14:45
15m
Talk
UniLog: Automatic Logging via LLM and In-Context Learning
Research Track
Junjielong Xu The Chinese University of Hong Kong, Shenzhen, Ziang Cui Southeast University, Yuan Zhao Peking University, Xu Zhang Microsoft Research, Shilin He Microsoft Research, Pinjia He Chinese University of Hong Kong, Shenzhen, Liqun Li Microsoft Research, Yu Kang Microsoft Research, Qingwei Lin Microsoft, Yingnong Dang Microsoft Azure, Saravan Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research
15:00
7m
Talk
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
Journal-first Papers
Steve Kommrusch Leela AI, Martin Monperrus KTH Royal Institute of Technology, Louis-Noël Pouchet Colorado State University
15:07
7m
Talk
NLP-based Automated Compliance Checking of Data Processing Agreements against GDPR
Journal-first Papers
Orlando Amaral University of Luxembourg, Muhammad Ilyas Azeem University of Luxembourg, Sallam Abualhaija University of Luxembourg, Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland
15:14
7m
Talk
Exploring ChatGPT for Toxicity Detection in GitHub
New Ideas and Emerging Results
Shyamal Mishra Drexel University, Preetha Chatterjee Drexel University, USA
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