Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Many current malware detection methods are based on supervised learning techniques,
which however have certain limitations. First, these techniques require a large amount of …

Decompilation aims to transform a low-level program language (LPL)(eg., binary file) into its
functionally-equivalent high-level program language (HPL)(eg, C/C++). It is a core …

Binary packing, a widely-used program obfuscation style, compresses or encrypts the
original program and then recovers it at runtime. Packed malware samples are pervasive …

Deep learning classifiers achieve state-of-the-art performance in various risk detection
applications. They explore rich semantic representations and are supposed to automatically …

As the semiconductor industry has shifted to a fabless paradigm, the risk of hardware
Trojans being inserted at various stages of production has also increased. Recently, there …

Code clones have been used in many different software maintenance and evaluation tasks
in practice (eg, change proportion and evolution, refactoring, and vulnerability …

PowerShell has been widely deployed in fileless malware and advanced persistent threat
(APT) attacks due to its high stealthiness and live-off-the-land technique. However, existing …

Malware continues to evolve rapidly, and more than 450,000 new samples are captured
every day, which makes manual malware analysis impractical. However, existing deep …

Pre-trained models have witnessed significant progress in nature language (including
source code) and binary code comprehension. However, none of them are suitable for …