Large Language Models (LLMs) have shown promise in automated program
rea...
Most existing pre-trained language models for source code focus on learn...
When debugging unintended program behavior, developers can often identif...
It is beneficial to develop an efficient machine-learning based method f...
Determining whether multiple instructions can access the same memory loc...
Detecting semantically similar functions – a crucial analysis capability...
Accurate and robust disassembly of stripped binaries is challenging. The...
Neural networks are increasingly deployed in real-world safety-critical
...
Fuzzing has become the de facto standard technique for finding software
...
Due to the increasing deployment of Deep Neural Networks (DNNs) in real-...
Due to the increasing usage of machine learning (ML) techniques in secur...
Recent advances in Deep Neural Networks (DNNs) have led to the developme...