Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...

This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...

Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...

Small hands-on Python projects help young learners understand loops, variables, and logic naturally through play. Instant on-screen results maintain motivation and make coding feel rewarding rather ...