2 papers
cs.SE2026
Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context
Samuel Valenzuela, Johannes Kinder
Binary function embedding models are trained to encode the semantics of binary code in such a way that they can be generalized to a variety of reverse engineering tasks, such as bi…
cs.LG2025
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
Tristan Benoit, Yunru Wang, Moritz Dannehl +1
Function names can greatly aid human reverse engineers, which has spurred the development of machine learning-based approaches to predicting function names in stripped binaries. Mu…