IEEE

Python Source Code Vulnerability Detection Based on CodeBERT Language Model

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

Why LLMs are plateauing – and what that means for software security

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
How-To Geek on MSN

5 powerful Python one-liners that will make you a better coder

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
Security Boulevard

Hackers Use LLM to Create React2Shell Malware, the Latest Example of AI-Generated Threat

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...
GitHub

Streaming Apache Iceberg examples using Apache Spark

AWS Managed Kafka and Apache Kafka, a distributed event streaming platform, has become the de facto standard for building real-time data pipelines. However, ingesting and storing large amounts of ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...