BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing-Reference-Cited by-同舟云学术

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BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing

Published:2024-02-06 Issue: Volume:9 Page:1-13
ISSN:
Container-title:Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
language:
Short-container-title:

Author:

Wong Wai Kin¹^ORCID,Wang Huaijin¹^ORCID,Li Zongjie¹^ORCID,Wang Shuai¹^ORCID

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597503.3623328

Reference109 articles.

1. [n.d.]. 3.11 Options That Control Optimization. https://gcc.gnu.org/onlinedocs/gcc/Optimize-Options.html.

2. [n.d.]. Average embedding vectors. https://datascience.stackexchange.com/questions/107462/why-does-averaging-word-embedding-vectors-exctracted-from-the-nn-embedding-laye.

3. [n.d.]. binaug. https://github.com/wwkenwong/BinAug/.

4. [n. d.]. BSCA. https://sites.google.com/view/binaug/bsca/.

5. [n. d.]. Hungarian algorithm. https://en.wikipedia.org/wiki/Hungarian_algorithm.

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