Search Results for author:
Found 2 papers, 1 papers with code
XDA: Accurate, Robust Disassembly with Transfer Learning
We present XDA, a transfer-learning-based disassembly framework that learns different contextual dependencies present in machine code and transfers this knowledge for accurate and robust disassembly.
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Two main obstacles preventing the widespread adoption of variational Bayesian neural networks are the high parameter overhead that makes them infeasible on large networks, and the difficulty of implementation, which can be thought of as "programming overhead."
Cannot find the paper you are looking for? You can
Submit a new open access paper.
