Abstract: Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Think of PyFilesystem's FS objects as the next logical step to Python's file objects. In the same way that file objects abstract a single file, FS objects abstract an entire filesystem. Let's look at ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

The domain and IP addresses involved do not appear in any previously documented incidents, and the malware does not share any code similarities with previously known malicious software. Since this ...

Here is a summary of GTPyhop's planning algorithm. For pseudocode, see [Nau21]. GTPyhop does a backtracking search, starting with an empty list π. It goes left-to-right through the items in T, and ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...