Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.
Li Tao Li|Steven H. H. Ding|Andrew Walenstein|Philippe Charland|Benjamin C. M. Fung
| Anthology ID: | DBLP:conf/cikm/LiDWCF24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1215-1225 |
| URL: | https://doi.org/10.1145/3627673.3679726 |
| DOI: | https://doi.org/10.1145/3627673.3679726 |
| DBLP: | conf/cikm/LiDWCF24 |
| BibTeX: |
@inproceedings{li-2024-dynamic,
author = {Li Tao Li and
Steven H. H. Ding and
Andrew Walenstein and
Philippe Charland and
Benjamin C. M. Fung},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1215--1225},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679726},
doi = {https://doi.org/10.1145/3627673.3679726}
}