The structural profile of binary code is captured through decomposing the control-flow-graph of a function into tracelets. We describe the underlying methodology and evaluate its performance in ...

CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

We present a framework for designing differentially private (DP) mechanisms for binary functions via a graph representation of datasets. Datasets are nodes in the graph and any two neighboring ...

Abstract: Graph matching has a wide range of applications. However, graph matching faces two challenges: high computational complexity and loss information of graph embedded. In order to solve these ...

The idea is that a more complex function will require a greater number of iterations for the network to adjust its weights and achieve an acceptable level of accuracy. Therefore, the number of ...