IEEE

uitSQLid: SQL Injection Detection Using Multi Deep Learning Models Approach

Abstract: Injection attack is the most common risk in web applications. There are various types of injection attacks like LDAP injection, command injection, SQL injection, and file injection. Among ...
Opinion

Accio Lawyers! Microsoft manager trained AI on pirated Potter books

A 2024 blog post, now remoted, pointed to a pirated collection of all seven Harry Potter novels and showed users how to use it to make a generative AI system.
IEEE

Train Waitlisted Ticket Confirmation Prediction Using Machine Learning

Abstract: The issue of predicting the confirmation of waitlisted tickets in the railway sector presents a significant challenge for both passengers and authorities. This research utilizes historical ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...