Automatically generating regular expressions (abbrev. regexes) from natural language
description (NL2RE) has been an emerging research area. Prior studies treat regex as a …

Web services use server-side input sanitization to guard against harmful input. Some web
services publish their sanitization logic to make their client interface more usable, eg …

Targeted deanonymization attacks let a malicious website discover whether a website visitor
bears a certain public identifier, such as an email address or a Twitter handle. These attacks …

Regular expressions (short form regex) find their application in program script synthesis,
machine translation, information extraction and web applications, such as input validations …

While synthesizing and repairing regular expressions (regexes) based on Programming-by-
Examples (PBE) methods have seen rapid progress in recent years, all existing works only …

Regular expression inference (REI) is a supervised machine learning and program
synthesis problem that takes a cost metric for regular expressions, and positive and negative …

Automatic regex synthesis involves generation of regular expressions from user-written
natural language descriptions, example strings or both. Daily, countless regex generation …

We propose regular expression inference (REI) as a challenge for code/language
modelling, and the wider machine learning community. REI is a supervised machine …

With the recent advances of code generation techniques based on Large Language Models
(LLMs), developers are using them for a vast range of tasks, including regex generation …

We propose\emph {regular expression inference (REI)} as a challenge for code/language
modelling, and the wider machine learning community. REI is a supervised machine …