BinAdapter: Leveraging Continual Learning for Inferring Function Symbol Names in a Binary

Author:

Murodova Nozima1ORCID,Koo Hyungjoon1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP)

Basic Science Research Program through National Research Foundation of Korea (NRF)

Institute of Information & communications Technology Planning & Evaluation

Publisher

ACM

Reference73 articles.

1. Suresh Kumar Amalapuram, Akash Tadwai, Reethu Vinta, Sumohana S Channappayya, and Bheemarjuna Reddy Tamma. 2022. Continual learning for anomaly based network intrusion detection. In Proceedings of the 14th International Conference on COMmunication Systems & NETworkS (COMSNETS).

2. Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang, and Chitta Baral. 2021. Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. CoRR (2021).

3. Chaitanya Baweja, Ben Glocker, and Konstantinos Kamnitsas. 2018. Towards continual learning in medical imaging. CoRR (2018).

4. Alexandre Berard. 2021. Continual learning in multilingual NMT via language-specific embeddings. In Proceedings of the 6th Conference on Machine Translation (WMT@EMNLP).

5. Magdalena Biesialska, Katarzyna Biesialska, and Marta R. Costa-jussà. 2020. Continual Lifelong Learning in Natural Language Processing: A Survey. In Proceedings of the 28th International Conference on Computational Linguistics (COLING).

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