Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering
- DOI
- 10.14722/ndss.2026.240380
- Published
- 2026
- Container
- Proceedings 2026 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.14722/ndss.2026.240380,
title = {Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering},
author = {Zion Leonahenahe Basque and Samuele Doria and Ananta Soneji and Wil Gibbs and Adam Doupe and Yan Shoshitaishvili and Eleonora Losiouk and Ruoyu Wang and Simone Aonzo},
year = {2026},
journal = {Proceedings 2026 Network and Distributed System Security Symposium},
doi = {10.14722/ndss.2026.240380},
url = {https://doi.org/10.14722/ndss.2026.240380}
}RIS
TY - JOUR TI - Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering AU - Zion Leonahenahe Basque AU - Samuele Doria AU - Ananta Soneji AU - Wil Gibbs AU - Adam Doupe AU - Yan Shoshitaishvili AU - Eleonora Losiouk AU - Ruoyu Wang AU - Simone Aonzo PY - 2026 JO - Proceedings 2026 Network and Distributed System Security Symposium DO - 10.14722/ndss.2026.240380 UR - https://doi.org/10.14722/ndss.2026.240380 ER -
APA
Basque, Z. L., Doria, S., Soneji, A., Gibbs, W., Doupe, A., Shoshitaishvili, Y., Losiouk, E., Wang, R., & Aonzo, S. (2026). Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering. Proceedings 2026 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2026.240380
Source records
- crossref · retrieved 2026-09-25T13:49:15.985Z