Microsoft’s research shows how poisoned language models can hide malicious triggers, creating new integrity risks for enterprises using third-party AI systems.

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

LinkedIn has rebuilt its static application security testing (SAST) pipeline using GitHub Actions and custom workflows, ...

Need to scan family photos, piles of documents, or expense receipts? Our experts have tested the best options for every scanning scenario. Since 2004, I have worked on PCMag’s hardware team, covering ...

Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your time well during tests. Focus on making your code run fast and fixing it when ...

This repository contains my curated solutions to LeetCode problems implemented in Java as part of my Data Structures & Algorithms preparation for technical interviews. The goal of this repo is not ...