We empirically analyzed sanitizer use in a shipping web application with over 400,000 lines of code and over 23,244 methods, the largest empirical analysis of sanitizer use of whi...
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Abstract. Software security has become more important than ever. Unfortunately, still now, the security of a software system is almost always retrofitted to an afterthought. When s...
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...