AttnCall: Refining Indirect Call Targets in Binaries with Attention-Reference-Cited by-同舟云学术

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AttnCall: Refining Indirect Call Targets in Binaries with Attention

Published:2024 Issue: Volume: Page:391-409
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Sun Rui^ORCID,Guo Yinggang^ORCID,Wang Zicheng^ORCID,Zeng Qingkai^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51482-1_20

Reference42 articles.

1. Abadi, M., Budiu, M., Erlingsson, Ú., Ligatti, J.: Control-flow integrity. In: Proceedings of the 12th ACM Conference on Computer and Communications Security, CCS ’05, pp. 340–353. Association for Computing Machinery, New York (2005). https://doi.org/10.1145/1102120.1102165

2. Abadi, M., Budiu, M., Erlingsson, Ú., Ligatti, J.: Control-flow integrity principles, implementations, and applications. ACM Trans. Inf. Syst. Secur. 13(1), 1–40 (2009). https://doi.org/10.1145/1609956.1609960

3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2015). https://doi.org/10.48550/arXiv.1409.0473

4. Lecture Notes in Computer Science;G Balakrishnan,2004

5. Burow, N., Zhang, X., Payer, M.: SoK: shining light on shadow stacks. In: 2019 IEEE Symposium on Security and Privacy (SP), Oakland, pp. 985–999 (2019). https://doi.org/10.1109/SP.2019.00076

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CCall: Recovering Indirect Call Targets from Binaries With Cross-Domain Fine-Tuning;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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