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} }