In this study, we explore the capability of Large Language Models (LLMs)...
The security of computer systems typically relies on a hardware root of
...
The BigCode community, an open-scientific collaboration working on the
r...
Recent advancements in machine learning and computer vision have led to ...
Fuzz testing is often automated, but also frequently augmented by expert...
The problem of reversing the compilation process, decompilation, is an
i...
Automating hardware design could obviate a significant amount of human e...
Fuzz testing has been used to find bugs in programs since the 1990s, but...
Advances in Deep Learning have led to the emergence of Large Language Mo...
Large language models (such as OpenAI's Codex) have demonstrated impress...
Human developers can produce code with cybersecurity weaknesses. Can eme...
There is burgeoning interest in designing AI-based systems to assist hum...
This paper proposes a novel two-stage defense (NNoculation) against
back...
Sophisticated attackers find bugs in software, evaluate their exploitabi...
Deep neural networks (DNNs) provide excellent performance across a wide ...