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Review of deep learning models for Alzheimer's disease detection: MRI-centric approaches and multimodal extensions. [PDF]
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Characterization of anticariogenic mycosymbiotic fungi associated with the medicinal plant Piper crocatum. [PDF]
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BinDeep: A deep learning approach to binary code similarity detection
Expert Systems With Applications, 2021Abstract Binary code similarity detection (BCSD) plays an important role in malware analysis and vulnerability discovery. Existing methods mainly rely on the expert’s knowledge for the BCSD, which may not be reliable in some cases. More importantly, the detection accuracy (or performance) of these methods are not so satisfied. To address these issues,
Changzhen Hu +2 more
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Binary Code Similarity Detection
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021 4 pages, conference ...
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A Survey of Binary Code Similarity Detection Techniques
Electronics (Switzerland)Binary Code Similarity Detection is a method that involves comparing two or more binary code segments to identify their similarities and differences. This technique plays a crucial role in areas such as software security, vulnerability detection, and software composition analysis. With the extensive use of binary code in software development and system
Qizhen Xu
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UniASM: Binary code similarity detection without fine-tuning
NeurocomputingBinary code similarity detection (BCSD) is widely used in various binary analysis tasks such as vulnerability search, malware detection, clone detection, and patch analysis. Recent studies have shown that the learning-based binary code embedding models perform better than the traditional feature-based approaches.
Yeming Gu, Fan Hu, Hui Shu
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Codeformer: A GNN-Nested Transformer Model for Binary Code Similarity Detection
Electronics (Switzerland), 2023 Binary code similarity detection is used to calculate the code similarity of a pair of binary functions or files, through a certain calculation method and judgment method. It is a fundamental task in the field of computer binary security. Traditional methods of similarity detection usually use graph matching algorithms, but these methods have poor ...
Xin Zhou, Jianmin Pang, Wenfu Liu
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Research and implementation of obfuscation binary code similarity detection
2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2022Da Xiao
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Binary Code Similarity Detection via LLM-Based Source Code Conversion
IEEE Internet of Things JournalChunqiang Hu, Bangrui Wan
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αDiff: cross-version binary code similarity detection with DNN
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018Binary code similarity detection (BCSD) has many applications, including patch analysis, plagiarism detection, malware detection, and vulnerability search etc. Existing solutions usually perform comparisons over specific syntactic features extracted from binary code, based on expert knowledge.
Bingchang Liu +6 more
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